Marek Kimmel

12.3k total citations · 1 hit paper
262 papers, 8.1k citations indexed

About

Marek Kimmel is a scholar working on Molecular Biology, Genetics and Cancer Research. According to data from OpenAlex, Marek Kimmel has authored 262 papers receiving a total of 8.1k indexed citations (citations by other indexed papers that have themselves been cited), including 125 papers in Molecular Biology, 72 papers in Genetics and 41 papers in Cancer Research. Recurrent topics in Marek Kimmel's work include Evolution and Genetic Dynamics (50 papers), Gene Regulatory Network Analysis (44 papers) and Mathematical Biology Tumor Growth (38 papers). Marek Kimmel is often cited by papers focused on Evolution and Genetic Dynamics (50 papers), Gene Regulatory Network Analysis (44 papers) and Mathematical Biology Tumor Growth (38 papers). Marek Kimmel collaborates with scholars based in United States, Poland and France. Marek Kimmel's co-authors include Ranajit Chakraborty, Betty J. Flehinger, Bo Peng, Myron R. Melamed, David Axelrod, Andrzej Polański, Tomasz Lipniacki, Allan R. Brasier, Andrzej Świerniak and David Stivers and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Clinical Investigation.

In The Last Decade

Marek Kimmel

251 papers receiving 7.8k citations

Hit Papers

Chronic infection drives Dnmt3a-loss-of-function clonal h... 2021 2026 2022 2024 2021 50 100 150 200

Peers

Marek Kimmel
Comparison fields: 5 of 186
  • Molecular Biology 3.0k
  • Genetics 1.9k
  • Pulmonary and Respiratory Medicine 1.3k
  • Oncology 1.2k
  • Cancer Research 907
Carlo C. Maley United States
Niko Beerenwinkel Switzerland
Sabine Mai Canada
Tibor Antal United States
Franziska Michor United States
Moritz Gerstung United Kingdom
Vito Quaranta United States
Mel Greaves United Kingdom
Guido Forni Italy
H Wiley United States
Carlo C. Maley United States View profile →
Citations per field, relative to Marek Kimmel
Marek Kimmel · 1×
Citations per year, relative to Marek Kimmel
Marek Kimmel · 1×

Countries citing papers authored by Marek Kimmel

Since Specialization
Citations

This map shows the geographic impact of Marek Kimmel's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Marek Kimmel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marek Kimmel more than expected).

Fields of papers citing papers by Marek Kimmel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marek Kimmel. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Marek Kimmel. The network helps show where Marek Kimmel may publish in the future.

Co-authorship network of co-authors of Marek Kimmel

This figure shows the co-authorship network connecting the top 25 collaborators of Marek Kimmel. A scholar is included among the top collaborators of Marek Kimmel based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Marek Kimmel. Marek Kimmel is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 5
2 7
3 14
4 1
5 2
6 34
7 8
8 3
9 88
10
Changes in heat shock duration influence regulatory schemes of HSF1 activity.
1
11
Computational approach for modeling and testing NF-kB binding sites.
2
12 6
13
Parameter estimation for models of cell signaling pathways based on semi-quantitative data
0
14 20
15
TESTING FOR SIGNATURES OF NATURAL SELECTION AT MOLECULAR GENES LEVEL
1
16
Using control theory to make cancer chemotherapy beneficial from phase dependence and resistant to drug resistance
6
17
POPULATION GENETICS MODELS FOR THE STATISTICS OF DNA SAMPLES UNDER DIFFERENT DEMOGRAPHIC SCENARIOS—MAXIMUM LIKELIHOOD VERSUS APPROXIMATE METHODS
0
18
Qualitative analysis of controlled drug resistance model - inverse Laplace and and semigroup approach
21
19
Dynamics of the life history of a DNA-repeat sequence
3
20
Mathematical model of the proliferation cycle of lymphoblastic leukemia cells.
3

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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