Evidence map›Paper›PMID 37975008›Full record

ArticleBiophysical reviews2023

How a physicist became a biophysicist.

Ivan V Krasnyakov

Abstract read
In one paragraph

Article in Biophysical reviews, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

1 author.

Ivan V KrasnyakovApplied Physics, Perm National Research Polytechnic University, Komsomilsky Prospekt, 29, Perm, Perm Region 614000 Russia.ORCID 0000-0002-2629-521X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

I am Ivan Krasnyakov, a senior lecturer at the Department of Applied Physics at Perm National Research Polytechnic University. I hold a degree of Candidate of Physical and Mathematical Sciences. My main area of research revolves around the biophysics of multicellular tissues. One of my initial research projects focused on creating a mathematical model to understand the growth of carcinoma. What intrigued me was the fresh perspective from clinical medicine researchers regarding the spatial structure of tumors. It was discovered that tumors display cellular heterogeneity and undergo self-organization, forming diverse architectural patterns during their development. At the moment, I continue to develop our model.

Indexed as

7th Congress of Biophysicists of RussiaComplex systemsMathematical modelingModeling of tissue growth

Identifiers

PMID37975008
PMCPMC10643754

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.