James L. Flowers

33 total papers · 623 total citations
26 papers, 447 citations indexed

About

James L. Flowers is a scholar working on Molecular Biology, General Agricultural and Biological Sciences and Education. According to data from OpenAlex, James L. Flowers has authored 26 papers receiving a total of 447 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 10 papers in General Agricultural and Biological Sciences and 7 papers in Education. Recurrent topics in James L. Flowers's work include Diverse Educational Innovations Studies (10 papers), Cancer therapeutics and mechanisms (7 papers) and Gender and Technology in Education (4 papers). James L. Flowers is often cited by papers focused on Diverse Educational Innovations Studies (10 papers), Cancer therapeutics and mechanisms (7 papers) and Gender and Technology in Education (4 papers). James L. Flowers collaborates with scholars based in United States, South Korea and Canada. James L. Flowers's co-authors include O. Michael Colvin, Govindarajan Manikumar, David J. Adams, Devashish Kothapalli, Ellen Puré, Tina Xu, Richard K. Assoian, David J. Adams, D. Barry Croom and Mark W. Dewhirst and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Clinical Cancer Research.

In The Last Decade

James L. Flowers

24 papers receiving 408 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 L. Flowers 211 83 59 46 45 26 447
Joana A. Macedo 324 1.5× 51 0.6× 47 0.8× 41 0.9× 54 1.2× 11 510
Patricio Rojas 290 1.4× 42 0.5× 60 1.0× 31 0.7× 11 0.2× 31 552
S. Pilar Zamora-León 177 0.8× 29 0.3× 45 0.8× 92 2.0× 78 1.7× 13 409
Jingjing Zhang 212 1.0× 19 0.2× 62 1.1× 47 1.0× 10 0.2× 21 498
Marianna Grinberg 217 1.0× 84 1.0× 17 0.3× 65 1.4× 43 1.0× 21 466
Xiaoyue Lin 206 1.0× 30 0.4× 15 0.3× 13 0.3× 33 0.7× 18 493
Yuting Li 112 0.5× 65 0.8× 8 0.1× 40 0.9× 8 0.2× 45 534
Simon Guild 236 1.1× 17 0.2× 86 1.5× 8 0.2× 30 0.7× 31 541
Xiaoge Zhao 223 1.1× 49 0.6× 23 0.4× 120 2.6× 58 1.3× 27 514
Mary Jo Koroly 208 1.0× 10 0.1× 55 0.9× 5 0.1× 5 0.1× 21 507

Countries citing papers authored by James L. Flowers

Since Specialization
Citations

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

Fields of papers citing papers by James L. Flowers

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of James L. Flowers

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