Anna Ochab-Marcinek

36 total papers · 761 total citations
24 papers, 522 citations indexed

About

Anna Ochab-Marcinek is a scholar working on Molecular Biology, Genetics and Statistical and Nonlinear Physics. According to data from OpenAlex, Anna Ochab-Marcinek has authored 24 papers receiving a total of 522 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 7 papers in Genetics and 6 papers in Statistical and Nonlinear Physics. Recurrent topics in Anna Ochab-Marcinek's work include Gene Regulatory Network Analysis (15 papers), Evolution and Genetic Dynamics (4 papers) and stochastic dynamics and bifurcation (4 papers). Anna Ochab-Marcinek is often cited by papers focused on Gene Regulatory Network Analysis (15 papers), Evolution and Genetic Dynamics (4 papers) and stochastic dynamics and bifurcation (4 papers). Anna Ochab-Marcinek collaborates with scholars based in Poland, United States and Italy. Anna Ochab-Marcinek's co-authors include Marcin Tabaka, Ewa Gudowska–Nowak, Robert Hołyst, Bernardo Spagnolo, A. Fiasconaro, Krzysztof Sozański, Tomasz K. Piskorz, Sen Hou, Tomasz Kalwarczyk and Peter Hänggi and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Analytical Chemistry and The Journal of Physical Chemistry B.

In The Last Decade

Anna Ochab-Marcinek

23 papers receiving 502 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Anna Ochab-Marcinek	271	164	96	76	60	24	522
Pushpita Ghosh	139 0.5×	129 0.8×	104 1.1×	96 1.3×	29 0.5×	31	502
Federico Frascoli	80 0.3×	92 0.6×	121 1.3×	123 1.6×	95 1.6×	50	554
Jacob Halatek	332 1.2×	64 0.4×	120 1.3×	63 0.8×	34 0.6×	14	589
Yuansheng Cao	185 0.7×	132 0.8×	26 0.3×	152 2.0×	36 0.6×	16	524
Ping Ao	200 0.7×	134 0.8×	86 0.9×	33 0.4×	20 0.3×	22	507
Srabanti Chaudhury	251 0.9×	215 1.3×	23 0.2×	84 1.1×	49 0.8×	49	519
Niraj Kumar	284 1.0×	140 0.9×	108 1.1×	64 0.8×	36 0.6×	26	616
Sandip Kar	283 1.0×	148 0.9×	45 0.5×	35 0.5×	41 0.7×	36	500
M. A. Pustovoît	250 0.9×	320 2.0×	10 0.1×	259 3.4×	17 0.3×	24	601
Srividya Iyer‐Biswas	391 1.4×	68 0.4×	197 2.1×	47 0.6×	12 0.2×	17	494

Countries citing papers authored by Anna Ochab-Marcinek

Since Specialization

Citations

This map shows the geographic impact of Anna Ochab-Marcinek'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 Anna Ochab-Marcinek with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anna Ochab-Marcinek more than expected).

Fields of papers citing papers by Anna Ochab-Marcinek

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Anna Ochab-Marcinek. 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 Anna Ochab-Marcinek. The network helps show where Anna Ochab-Marcinek may publish in the future.

Co-authorship network of co-authors of Anna Ochab-Marcinek

This figure shows the co-authorship network connecting the top 25 collaborators of Anna Ochab-Marcinek. A scholar is included among the top collaborators of Anna Ochab-Marcinek 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 Anna Ochab-Marcinek. Anna Ochab-Marcinek is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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