Christopher S. Law

26 total papers · 1.7k total citations
14 papers, 995 citations indexed

About

Christopher S. Law is a scholar working on Molecular Biology, Immunology and Infectious Diseases. According to data from OpenAlex, Christopher S. Law has authored 14 papers receiving a total of 995 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 7 papers in Immunology and 3 papers in Infectious Diseases. Recurrent topics in Christopher S. Law's work include interferon and immune responses (5 papers), Vitamin D Research Studies (3 papers) and Inflammasome and immune disorders (3 papers). Christopher S. Law is often cited by papers focused on interferon and immune responses (5 papers), Vitamin D Research Studies (3 papers) and Inflammasome and immune disorders (3 papers). Christopher S. Law collaborates with scholars based in United States, Canada and United Kingdom. Christopher S. Law's co-authors include Songcang Chen, David G. Gardner, Christopher L. Grigsby, Keith Olsen, TingTing Hong, Yerem Yeghiazarians, Yan Zhang, Anthony K. Shum, Michael H. Humphreys and Xi-Ping Ni and has published in prestigious journals such as Circulation, Journal of Clinical Investigation and The Journal of Experimental Medicine.

In The Last Decade

Christopher S. Law

13 papers receiving 978 citations

Author Peers

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

Author Last Decade Papers Cites
Christopher S. Law 395 252 222 215 167 14 995
Jisu Oh 603 1.5× 147 0.6× 280 1.3× 229 1.1× 65 0.4× 11 1.0k
Ana Cardus Figueras 433 1.1× 276 1.1× 167 0.8× 191 0.9× 90 0.5× 22 1.1k
Antonio J. Berlanga‐Taylor 330 0.8× 151 0.6× 66 0.3× 228 1.1× 103 0.6× 21 913
Claudia Zierold 659 1.7× 290 1.2× 175 0.8× 77 0.4× 63 0.4× 33 1.1k
Walter L. Norton 291 0.7× 129 0.5× 30 0.1× 172 0.8× 143 0.9× 21 903
M A Kowalski 638 1.6× 140 0.6× 179 0.8× 74 0.3× 79 0.5× 17 975
Katherine S. Upchurch 100 0.3× 118 0.5× 78 0.4× 129 0.6× 100 0.6× 11 1.0k
Ursula Dürmüller 363 0.9× 246 1.0× 106 0.5× 150 0.7× 35 0.2× 20 999
Narelle Maugeri 734 1.9× 214 0.8× 144 0.6× 283 1.3× 30 0.2× 8 1.1k
Manish P. Ponda 289 0.7× 308 1.2× 146 0.7× 83 0.4× 74 0.4× 24 1.0k

Countries citing papers authored by Christopher S. Law

Since Specialization
Citations

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

Fields of papers citing papers by Christopher S. Law

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Christopher S. Law. 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 Christopher S. Law. The network helps show where Christopher S. Law may publish in the future.

Co-authorship network of co-authors of Christopher S. Law

This figure shows the co-authorship network connecting the top 25 collaborators of Christopher S. Law. A scholar is included among the top collaborators of Christopher S. Law 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 Christopher S. Law. Christopher S. Law 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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