Jacalyn M. Green

67 total papers · 1.2k total citations
38 papers, 958 citations indexed

About

Jacalyn M. Green is a scholar working on Molecular Biology, Rheumatology and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Jacalyn M. Green has authored 38 papers receiving a total of 958 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 7 papers in Rheumatology and 7 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Jacalyn M. Green's work include Amino Acid Enzymes and Metabolism (6 papers), Innovations in Medical Education (6 papers) and Folate and B Vitamins Research (6 papers). Jacalyn M. Green is often cited by papers focused on Amino Acid Enzymes and Metabolism (6 papers), Innovations in Medical Education (6 papers) and Folate and B Vitamins Research (6 papers). Jacalyn M. Green collaborates with scholars based in United States, United Kingdom and Canada. Jacalyn M. Green's co-authors include Brian P. Nichols, Rowena G. Matthews, Robert E. MacKenzie, V. K. Viswanathan, Sean M. Lynch, P Large, Susan M. Viselli, Lon J. Van Winkle, Nalini Chandar and David P. Ballou and has published in prestigious journals such as Journal of Biological Chemistry, PLoS ONE and Biochemistry.

In The Last Decade

Jacalyn M. Green

38 papers receiving 936 citations

Author Peers

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

Author Last Decade Papers Cites
Jacalyn M. Green 494 217 123 103 102 38 958
Margaret E. Gregory 343 0.7× 172 0.8× 84 0.7× 75 0.7× 93 0.9× 52 1.1k
Tomoharu Gomi 799 1.6× 317 1.5× 32 0.3× 175 1.7× 59 0.6× 40 1.1k
H. E. Wade 795 1.6× 72 0.3× 161 1.3× 87 0.8× 208 2.0× 29 1.2k
Joseph J. Kolb 536 1.1× 45 0.2× 67 0.5× 171 1.7× 75 0.7× 17 1.1k
S M Schuster 703 1.4× 42 0.2× 136 1.1× 124 1.2× 95 0.9× 38 1.1k
Anna L. Trifillis 398 0.8× 67 0.3× 58 0.5× 43 0.4× 115 1.1× 33 1.2k
Yuichi Kawai 402 0.8× 71 0.3× 89 0.7× 34 0.3× 71 0.7× 58 1.0k
A Albrecht 593 1.2× 37 0.2× 59 0.5× 107 1.0× 54 0.5× 31 797
Alexandre Noiriel 553 1.1× 79 0.4× 24 0.2× 139 1.3× 57 0.6× 40 846
Susan T. Mashiyama 475 1.0× 239 1.1× 99 0.8× 19 0.2× 48 0.5× 15 975

Countries citing papers authored by Jacalyn M. Green

Since Specialization
Citations

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

Fields of papers citing papers by Jacalyn M. Green

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jacalyn M. Green. 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 Jacalyn M. Green. The network helps show where Jacalyn M. Green may publish in the future.

Co-authorship network of co-authors of Jacalyn M. Green

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