John L. Johnson

49 total papers · 1.6k total citations
31 papers, 840 citations indexed

About

John L. Johnson is a scholar working on Molecular Biology, Genetics and Immunology. According to data from OpenAlex, John L. Johnson has authored 31 papers receiving a total of 840 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 10 papers in Genetics and 6 papers in Immunology. Recurrent topics in John L. Johnson's work include CRISPR and Genetic Engineering (7 papers), Animal Genetics and Reproduction (7 papers) and T-cell and B-cell Immunology (5 papers). John L. Johnson is often cited by papers focused on CRISPR and Genetic Engineering (7 papers), Animal Genetics and Reproduction (7 papers) and T-cell and B-cell Immunology (5 papers). John L. Johnson collaborates with scholars based in United States, Georgia and Egypt. John L. Johnson's co-authors include J. M. Greene, E. A. Frieman, C. Oberman, Russell M. Kulsrud, Golnaz Vahedi, Zeyu Chen, Erietta Stelekati, E. John Wherry, F.C. Gwazdauskas and William H. Velander and has published in prestigious journals such as Nucleic Acids Research, The Journal of Experimental Medicine and Nature Immunology.

In The Last Decade

John L. Johnson

31 papers receiving 799 citations

Author Peers

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

Author Last Decade Papers Cites
John L. Johnson 272 267 226 181 127 31 840
K. Kawagoe 149 0.5× 287 1.1× 83 0.4× 120 0.7× 32 0.3× 67 994
Satoshi Yamada 151 0.6× 107 0.4× 161 0.7× 18 0.1× 55 0.4× 50 804
Yongjie Zhang 230 0.8× 139 0.5× 81 0.4× 48 0.3× 38 0.3× 62 777
Xiao Wang 275 1.0× 127 0.5× 279 1.2× 48 0.3× 91 0.7× 35 811
Corey Tan 40 0.1× 642 2.4× 113 0.5× 197 1.1× 24 0.2× 23 995
T. K. Soboleva 83 0.3× 425 1.6× 227 1.0× 14 0.1× 103 0.8× 66 951
T. Nakano 86 0.3× 287 1.1× 202 0.9× 182 1.0× 19 0.1× 35 825
T. Kamimura 56 0.2× 287 1.1× 303 1.3× 31 0.2× 4 0.0× 39 771
Jesús M. Seoane 130 0.5× 51 0.2× 101 0.4× 27 0.1× 30 0.2× 65 887
Ana Nunes 202 0.7× 196 0.7× 259 1.1× 11 0.1× 127 1.0× 76 1.0k

Countries citing papers authored by John L. Johnson

Since Specialization
Citations

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

Fields of papers citing papers by John L. Johnson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John L. Johnson. 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 John L. Johnson. The network helps show where John L. Johnson may publish in the future.

Co-authorship network of co-authors of John L. Johnson

This figure shows the co-authorship network connecting the top 25 collaborators of John L. Johnson. A scholar is included among the top collaborators of John L. Johnson 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 John L. Johnson. John L. Johnson 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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