John L. Diener

23 total papers · 714 total citations
13 papers, 516 citations indexed

About

John L. Diener is a scholar working on Molecular Biology, Hematology and Immunology. According to data from OpenAlex, John L. Diener has authored 13 papers receiving a total of 516 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 3 papers in Hematology and 3 papers in Immunology. Recurrent topics in John L. Diener's work include RNA and protein synthesis mechanisms (3 papers), Complement system in diseases (3 papers) and Platelet Disorders and Treatments (3 papers). John L. Diener is often cited by papers focused on RNA and protein synthesis mechanisms (3 papers), Complement system in diseases (3 papers) and Platelet Disorders and Treatments (3 papers). John L. Diener collaborates with scholars based in United States, Switzerland and Canada. John L. Diener's co-authors include Peter B. Moore, Charles B. Wilson, Robert G. Schaub, John P. Marino, Christian Griesinger, Ren‐Huai Huang, J. Evan Sadler, Daved H. Fremont, Denisa D. Wagner and Yahye Merhi and has published in prestigious journals such as Journal of the American Chemical Society, Blood and Molecular Cell.

In The Last Decade

John L. Diener

13 papers receiving 492 citations

Author Peers

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

Author Last Decade Papers Cites
John L. Diener 388 72 71 47 43 13 516
Naohiro Hanyu 308 0.8× 24 0.3× 51 0.7× 27 0.6× 52 1.2× 16 450
Ruchira Engel 268 0.7× 13 0.2× 124 1.7× 48 1.0× 12 0.3× 17 536
Xiangyue Yang 390 1.0× 20 0.3× 16 0.2× 22 0.5× 58 1.3× 12 578
Igor Pechik 206 0.5× 34 0.5× 147 2.1× 22 0.5× 11 0.3× 19 597
Sarah J. Fletcher 197 0.5× 44 0.6× 102 1.4× 67 1.4× 10 0.2× 17 560
Susan J. Cooper 247 0.6× 55 0.8× 30 0.4× 96 2.0× 9 0.2× 16 617
Chia‐Huei Chen 271 0.7× 14 0.2× 105 1.5× 33 0.7× 16 0.4× 9 566
George M. Bou-Assaf 342 0.9× 78 1.1× 52 0.7× 111 2.4× 11 0.3× 26 543
Francesca Bernardi 181 0.5× 29 0.4× 253 3.6× 19 0.4× 8 0.2× 20 535
Daniel A. Plymire 172 0.4× 28 0.4× 26 0.4× 96 2.0× 6 0.1× 16 460

Countries citing papers authored by John L. Diener

Since Specialization
Citations

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

Fields of papers citing papers by John L. Diener

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of John L. Diener

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