James W. Chamberlin

21 total papers · 932 total citations
16 papers, 706 citations indexed

About

James W. Chamberlin is a scholar working on Molecular Biology, Organic Chemistry and Small Animals. According to data from OpenAlex, James W. Chamberlin has authored 16 papers receiving a total of 706 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 6 papers in Organic Chemistry and 4 papers in Small Animals. Recurrent topics in James W. Chamberlin's work include Coccidia and coccidiosis research (4 papers), Veterinary medicine and infectious diseases (4 papers) and Chemical Synthesis and Analysis (2 papers). James W. Chamberlin is often cited by papers focused on Coccidia and coccidiosis research (4 papers), Veterinary medicine and infectious diseases (4 papers) and Chemical Synthesis and Analysis (2 papers). James W. Chamberlin collaborates with scholars based in United States. James W. Chamberlin's co-authors include L. K. Steinrauf, Mary Pinkerton, H. Budzikiewicz, Carl Djerassi, J. M. Wilson, Robert L. Hamill, Ernest Wenkert, Marvin Gorman, Michael O. Chaney and Noel D. Jones and has published in prestigious journals such as Journal of the American Chemical Society, Biochemical and Biophysical Research Communications and Antimicrobial Agents and Chemotherapy.

In The Last Decade

James W. Chamberlin

16 papers receiving 644 citations

Author Peers

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

Author Last Decade Papers Cites
James W. Chamberlin 244 231 157 130 104 16 706
Mary Pinkerton 258 1.1× 147 0.6× 97 0.6× 142 1.1× 125 1.2× 12 701
Julius Berger 301 1.2× 143 0.6× 173 1.1× 77 0.6× 66 0.6× 30 732
James V. Pivnichny 260 1.1× 222 1.0× 71 0.5× 89 0.7× 202 1.9× 24 801
Hui Hong 360 1.5× 188 0.8× 253 1.6× 42 0.3× 133 1.3× 29 823
CHAO-MIN LIU 331 1.4× 256 1.1× 278 1.8× 45 0.3× 40 0.4× 33 692
Robert T. Goegelman 313 1.3× 266 1.2× 490 3.1× 17 0.1× 69 0.7× 13 864
Junsaku Nagatsu 314 1.3× 205 0.9× 177 1.1× 62 0.5× 44 0.4× 22 676
Ralph Krebber 162 0.7× 96 0.4× 52 0.3× 39 0.3× 27 0.3× 32 898
Lorena Lucatello 330 1.4× 73 0.3× 64 0.4× 54 0.4× 35 0.3× 35 646
Sigvard Eriksson 135 0.6× 147 0.6× 19 0.1× 104 0.8× 23 0.2× 33 645

Countries citing papers authored by James W. Chamberlin

Since Specialization
Citations

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

Fields of papers citing papers by James W. Chamberlin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by James W. Chamberlin. 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 James W. Chamberlin. The network helps show where James W. Chamberlin may publish in the future.

Co-authorship network of co-authors of James W. Chamberlin

This figure shows the co-authorship network connecting the top 25 collaborators of James W. Chamberlin. A scholar is included among the top collaborators of James W. Chamberlin 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 James W. Chamberlin. James W. Chamberlin 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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