Arthur J. Campbell

53 total papers · 2.1k total citations
23 papers, 795 citations indexed

About

Arthur J. Campbell is a scholar working on Molecular Biology, Genetics and Computational Theory and Mathematics. According to data from OpenAlex, Arthur J. Campbell has authored 23 papers receiving a total of 795 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 10 papers in Genetics and 2 papers in Computational Theory and Mathematics. Recurrent topics in Arthur J. Campbell's work include RNA and protein synthesis mechanisms (8 papers), Genomics and Rare Diseases (7 papers) and DNA and Nucleic Acid Chemistry (6 papers). Arthur J. Campbell is often cited by papers focused on RNA and protein synthesis mechanisms (8 papers), Genomics and Rare Diseases (7 papers) and DNA and Nucleic Acid Chemistry (6 papers). Arthur J. Campbell collaborates with scholars based in United States, Germany and Czechia. Arthur J. Campbell's co-authors include Diane Joseph‐McCarthy, Carlos Simmerling, Christina Bergonzo, Demetri T. Moustakas, Günther Kern, Arthur P. Grollman, Carlos de los Santos, Michelle L. Lamb, Florence F. Wagner and Sumaiya Iqbal and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Nucleic Acids Research.

In The Last Decade

Arthur J. Campbell

22 papers receiving 778 citations

Author Peers

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

Author						Papers	Cites
Arthur J. Campbell	637	193	101	69	63	23	795
Koto Hayakawa	790 1.2×	106 0.5×	88 0.9×	119 1.7×	67 1.1×	21	1.0k
Clarissa G. Jakob	594 0.9×	237 1.2×	90 0.9×	158 2.3×	119 1.9×	23	999
Marie‐Hélène Remy	696 1.1×	122 0.6×	37 0.4×	52 0.8×	48 0.8×	30	916
Adam R. McKay	571 0.9×	116 0.6×	26 0.3×	35 0.5×	56 0.9×	20	828
D. Ogg	667 1.0×	135 0.7×	40 0.4×	79 1.1×	150 2.4×	23	984
Marina Gay	449 0.7×	129 0.7×	29 0.3×	93 1.3×	83 1.3×	36	850
Narendra Narayana	701 1.1×	70 0.4×	80 0.8×	52 0.8×	64 1.0×	23	887
Pete Dunten	582 0.9×	145 0.8×	40 0.4×	145 2.1×	127 2.0×	31	901
Michal Levy‐Sakin	522 0.8×	161 0.8×	82 0.8×	18 0.3×	65 1.0×	18	866
Jörg Bomke	566 0.9×	99 0.5×	108 1.1×	94 1.4×	103 1.6×	15	809

Countries citing papers authored by Arthur J. Campbell

Since Specialization

Citations

This map shows the geographic impact of Arthur J. Campbell'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. Campbell 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. Campbell more than expected).

Fields of papers citing papers by Arthur J. Campbell

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

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