Nicholas J. Lynch

66 total papers · 2.8k total citations
46 papers, 2.2k citations indexed

About

Nicholas J. Lynch is a scholar working on Immunology, Epidemiology and Molecular Biology. According to data from OpenAlex, Nicholas J. Lynch has authored 46 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Immunology, 9 papers in Epidemiology and 8 papers in Molecular Biology. Recurrent topics in Nicholas J. Lynch's work include Complement system in diseases (28 papers), SARS-CoV-2 and COVID-19 Research (6 papers) and Immune Cell Function and Interaction (5 papers). Nicholas J. Lynch is often cited by papers focused on Complement system in diseases (28 papers), SARS-CoV-2 and COVID-19 Research (6 papers) and Immune Cell Function and Interaction (5 papers). Nicholas J. Lynch collaborates with scholars based in United Kingdom, Germany and Egypt. Nicholas J. Lynch's co-authors include Wilhelm Schwaeble, Cordula Stover, Teizo Fujita, Silke Roscher, Youssif M. Ali, Steffen Thiel, Robert B. Sim, Misao Matsushita, Jeffrey L. Lange and Peter S. Thorne and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and The Journal of Immunology.

In The Last Decade

Nicholas J. Lynch

46 papers receiving 2.2k citations

Author Peers

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

Author Last Decade Papers Cites
Nicholas J. Lynch 1.5k 370 357 289 215 46 2.2k
M Kazatchkine 1.2k 0.8× 270 0.7× 433 1.2× 478 1.7× 169 0.8× 87 2.4k
Daisuke Iwaki 1.7k 1.2× 347 0.9× 346 1.0× 265 0.9× 186 0.9× 37 2.2k
Thomas F. Lint 1.4k 0.9× 373 1.0× 474 1.3× 476 1.6× 265 1.2× 68 2.3k
Martin Kolev 1.7k 1.1× 283 0.8× 574 1.6× 203 0.7× 111 0.5× 41 2.6k
Raphael H. Levey 1.6k 1.1× 365 1.0× 602 1.7× 335 1.2× 282 1.3× 49 3.3k
M Fotino 1.1k 0.7× 306 0.8× 355 1.0× 330 1.1× 291 1.4× 78 2.5k
Brian S. Andrews 1.6k 1.1× 279 0.8× 512 1.4× 199 0.7× 93 0.4× 44 2.9k
Nicolas S. Merle 1.5k 1.1× 266 0.7× 657 1.8× 407 1.4× 206 1.0× 34 2.5k
Georgia Sfyroera 1.3k 0.9× 335 0.9× 554 1.6× 261 0.9× 115 0.5× 44 2.2k
T. Petteri Arstila 1.9k 1.3× 262 0.7× 312 0.9× 314 1.1× 185 0.9× 70 2.8k

Countries citing papers authored by Nicholas J. Lynch

Since Specialization
Citations

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

Fields of papers citing papers by Nicholas J. Lynch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nicholas J. Lynch. 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 Nicholas J. Lynch. The network helps show where Nicholas J. Lynch may publish in the future.

Co-authorship network of co-authors of Nicholas J. Lynch

This figure shows the co-authorship network connecting the top 25 collaborators of Nicholas J. Lynch. A scholar is included among the top collaborators of Nicholas J. Lynch 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 Nicholas J. Lynch. Nicholas J. Lynch 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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