Arthur J. Kudla

35 total papers · 1.5k total citations
27 papers, 1.2k citations indexed

About

Arthur J. Kudla is a scholar working on Oncology, Molecular Biology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Arthur J. Kudla has authored 27 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Oncology, 13 papers in Molecular Biology and 10 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Arthur J. Kudla's work include HER2/EGFR in Cancer Research (12 papers), Monoclonal and Polyclonal Antibodies Research (10 papers) and Multiple Myeloma Research and Treatments (5 papers). Arthur J. Kudla is often cited by papers focused on HER2/EGFR in Cancer Research (12 papers), Monoclonal and Polyclonal Antibodies Research (10 papers) and Multiple Myeloma Research and Treatments (5 papers). Arthur J. Kudla collaborates with scholars based in United States, France and United Kingdom. Arthur J. Kudla's co-authors include Stephen F. Konieczny, Yanfeng Kong, Matthew J. Flick, Violette Paragas, Bradley B. Olwin, Ulrik B. Nielsen, Michael J. Feldhaus, Birgit Schoeberl, Neeraj Kohli and Brian D. Harms and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Clinical Oncology and The Journal of Cell Biology.

In The Last Decade

Arthur J. Kudla

27 papers receiving 1.1k citations

Author Peers

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

Author Last Decade Papers Cites
Arthur J. Kudla 780 413 374 107 91 27 1.2k
Jon Strasser 391 0.5× 228 0.6× 315 0.8× 142 1.3× 53 0.6× 25 1.2k
Raffaele Tecce 577 0.7× 325 0.8× 132 0.4× 89 0.8× 100 1.1× 26 1.4k
Quteba Ebrahem 806 1.0× 222 0.5× 254 0.7× 38 0.4× 70 0.8× 31 1.5k
Brian J. Yoder 460 0.6× 670 1.6× 174 0.5× 148 1.4× 106 1.2× 22 1.4k
Norman McKie 631 0.8× 418 1.0× 156 0.4× 39 0.4× 72 0.8× 33 1.3k
Amy E. Birsner 643 0.8× 176 0.4× 148 0.4× 32 0.3× 105 1.2× 34 1.2k
Paolo Esposto Pirani 347 0.4× 648 1.6× 205 0.5× 55 0.5× 38 0.4× 31 1.3k
Michinari Hirata 757 1.0× 655 1.6× 102 0.3× 75 0.7× 60 0.7× 26 1.4k
Denis Tvorogov 842 1.1× 679 1.6× 86 0.2× 52 0.5× 161 1.8× 29 1.4k
Fumihiko Matsuno 589 0.8× 344 0.8× 101 0.3× 36 0.3× 41 0.5× 31 984

Countries citing papers authored by Arthur J. Kudla

Since Specialization
Citations

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

Fields of papers citing papers by Arthur J. Kudla

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Arthur J. Kudla

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