J.P.A.M. Klerx

16 total papers · 410 total citations
15 papers, 364 citations indexed

About

J.P.A.M. Klerx is a scholar working on Immunology, Molecular Biology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, J.P.A.M. Klerx has authored 15 papers receiving a total of 364 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Immunology, 4 papers in Molecular Biology and 4 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in J.P.A.M. Klerx's work include Complement system in diseases (8 papers), Monoclonal and Polyclonal Antibodies Research (4 papers) and Blood groups and transfusion (2 papers). J.P.A.M. Klerx is often cited by papers focused on Complement system in diseases (8 papers), Monoclonal and Polyclonal Antibodies Research (4 papers) and Blood groups and transfusion (2 papers). J.P.A.M. Klerx collaborates with scholars based in Netherlands and Sri Lanka. J.P.A.M. Klerx's co-authors include Johannes van Dijk, Jan M.N. Willers, Cees J. Beukelman, R.P. Labadie, Wim E. Hennink, Jan Feijén, Georg Kraal, J M Willers, Henk‐Jan Schuurman and Antoon J. M. van Oosterhout and has published in prestigious journals such as The Journal of Immunology, Infection and Immunity and European Journal of Immunology.

In The Last Decade

J.P.A.M. Klerx

15 papers receiving 334 citations

Author Peers

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

Author Last Decade Papers Cites
J.P.A.M. Klerx 122 121 97 45 39 15 364
Charu Agrawal 79 0.6× 114 0.9× 75 0.8× 32 0.7× 12 0.3× 18 320
Elíades Ledezma 46 0.4× 101 0.8× 175 1.8× 26 0.6× 28 0.7× 14 309
Pradeep B. Parab 74 0.6× 78 0.6× 53 0.5× 18 0.4× 14 0.4× 22 351
V Vetvicka 140 1.1× 103 0.9× 72 0.7× 11 0.2× 13 0.3× 25 373
Patricia Farnes 91 0.7× 92 0.8× 37 0.4× 16 0.4× 16 0.4× 21 338
Kazuya Mori 60 0.5× 114 0.9× 21 0.2× 52 1.2× 27 0.7× 21 327
Jennifer Chavez 152 1.2× 73 0.6× 85 0.9× 6 0.1× 21 0.5× 15 331
William M. Mackin 78 0.6× 125 1.0× 123 1.3× 10 0.2× 14 0.4× 16 360
Shinha Han 70 0.6× 199 1.6× 75 0.8× 36 0.8× 43 1.1× 17 394
Xinghong Ding 49 0.4× 139 1.1× 66 0.7× 21 0.5× 30 0.8× 25 323

Countries citing papers authored by J.P.A.M. Klerx

Since Specialization
Citations

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

Fields of papers citing papers by J.P.A.M. Klerx

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J.P.A.M. Klerx. 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 J.P.A.M. Klerx. The network helps show where J.P.A.M. Klerx may publish in the future.

Co-authorship network of co-authors of J.P.A.M. Klerx

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