Jakub Otwinowski

1.0k total citations
15 papers, 508 citations indexed

About

Jakub Otwinowski is a scholar working on Genetics, Molecular Biology and Sociology and Political Science. According to data from OpenAlex, Jakub Otwinowski has authored 15 papers receiving a total of 508 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Genetics, 4 papers in Molecular Biology and 4 papers in Sociology and Political Science. Recurrent topics in Jakub Otwinowski's work include Evolution and Genetic Dynamics (10 papers), Evolutionary Game Theory and Cooperation (4 papers) and T-cell and B-cell Immunology (3 papers). Jakub Otwinowski is often cited by papers focused on Evolution and Genetic Dynamics (10 papers), Evolutionary Game Theory and Cooperation (4 papers) and T-cell and B-cell Immunology (3 papers). Jakub Otwinowski collaborates with scholars based in United States, Germany and France. Jakub Otwinowski's co-authors include Joshua B. Plotkin, David M. McCandlish, Ilya Nemenman, Peter Schall, Daniel Bonn, Stefano Sacanna, Hua Guo, G. H. Wegdam, Armita Nourmohammad and Ian A. Wilson and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Physical Review Letters and Nature Communications.

In The Last Decade

Jakub Otwinowski

15 papers receiving 506 citations

Peers

Countries citing papers authored by Jakub Otwinowski

Since Specialization

Citations

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

Fields of papers citing papers by Jakub Otwinowski

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jakub Otwinowski. 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 Jakub Otwinowski. The network helps show where Jakub Otwinowski may publish in the future.

Co-authorship network of co-authors of Jakub Otwinowski

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

All Works

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15 of 15 papers shown

#	Work	Indexed citations
1	Learning the shape of protein microenvironments with a holographic convolutional neural network 2024 ·Proceedings of the National Academy of Sciences ·(unknown), A. Ivanov, (unknown), (unknown), (unknown), Philip Bradley, Jakub Otwinowski, Armita Nourmohammad	6
2	Dynamics of B cell repertoires and emergence of cross-reactive responses in patients with different severities of COVID-19 2021 ·Cell Reports ·(unknown), Huibin Lv, Jakub Otwinowski, William S. DeWitt, (unknown), Garrick K. Yip, Wilson W. Ng, Owen Tak-Yin Tsang, Meng Yuan, Hejun Liu, Ian A. Wilson, (unknown), Nicholas C. Wu, Armita Nourmohammad, Chris Ka Pun Mok	30
3	Information-Geometric Optimization with Natural Selection 2020 ·MDPI (MDPI AG) ·Jakub Otwinowski	1
4	Major antigenic site B of human influenza H3N2 viruses has an evolving local fitness landscape 2020 ·Nature Communications ·Nicholas C. Wu, Jakub Otwinowski, Andrew J. Thompson, Corwin M. Nycholat, Armita Nourmohammad, Ian A. Wilson	48
5	Fierce Selection and Interference in B-Cell Repertoire Response to Chronic HIV-1 2019 ·Molecular Biology and Evolution ·Armita Nourmohammad, Jakub Otwinowski, Marta Łuksza, Thierry Mora, Aleksandra M. Walczak	24
6	Inferring the shape of global epistasis 2018 ·Proceedings of the National Academy of Sciences ·Jakub Otwinowski, David M. McCandlish, Joshua B. Plotkin	123
7	Biophysical Inference of Epistasis and the Effects of Mutations on Protein Stability and Function 2018 ·Molecular Biology and Evolution ·Jakub Otwinowski	49
8	Detecting epistasis from an ensemble of adapting populations 2015 ·Evolution ·David M. McCandlish, Jakub Otwinowski, Joshua B. Plotkin	8
9	On the role of epistasis in adaptation 2014 ·arXiv (Cornell University) ·David M. McCandlish, Jakub Otwinowski, Joshua B. Plotkin	2
10	Inferring fitness landscapes by regression produces biased estimates of epistasis 2014 ·Proceedings of the National Academy of Sciences ·Jakub Otwinowski, Joshua B. Plotkin	55
11	Genotype to Phenotype Mapping and the Fitness Landscape of the E. coli lac Promoter 2013 ·PLoS ONE ·Jakub Otwinowski, Ilya Nemenman	39
12	Speeding up Evolutionary Search by Small Fitness Fluctuations 2011 ·Journal of Statistical Physics ·Jakub Otwinowski, Sorin Tănase‐Nicola, Ilya Nemenman	3
13	Accumulation of beneficial mutations in one dimension 2011 ·Physical Review E ·Jakub Otwinowski, Stefan Boettcher	4
14	Direct Observation of Colloidal Aggregation by Critical Casimir Forces 2009 ·Physical Review Letters ·Daniel Bonn, Jakub Otwinowski, Stefano Sacanna, Hua Guo, G. H. Wegdam, Peter Schall	100
15	Novel techniques of laser acceleration: from structures to plasmas 2006 ·Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences ·S. Kalmykov, Oleg Polomarov, Dmitriy Korobkin, Jakub Otwinowski, John Power, Gennady Shvets	16

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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