Joel Waksman

21 total papers · 534 total citations
16 papers, 396 citations indexed

About

Joel Waksman is a scholar working on Molecular Biology, Dermatology and Physiology. According to data from OpenAlex, Joel Waksman has authored 16 papers receiving a total of 396 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 5 papers in Dermatology and 4 papers in Physiology. Recurrent topics in Joel Waksman's work include Cutaneous lymphoproliferative disorders research (5 papers), Inflammatory mediators and NSAID effects (3 papers) and T-cell and Retrovirus Studies (3 papers). Joel Waksman is often cited by papers focused on Cutaneous lymphoproliferative disorders research (5 papers), Inflammatory mediators and NSAID effects (3 papers) and T-cell and Retrovirus Studies (3 papers). Joel Waksman collaborates with scholars based in United States, United Kingdom and Poland. Joel Waksman's co-authors include Sandy A. Furey, Stephen A. Cooper, Sean Whittaker, Adam Lerner, David E. Kellstein, Madeleine Duvic, Elliot V. Hersh, Geraldine Doyle, Lawrence M. Levin and Youn H. Kim and has published in prestigious journals such as Blood, Journal of Agricultural and Food Chemistry and The American Journal of Cardiology.

In The Last Decade

Joel Waksman

16 papers receiving 373 citations

Author Peers

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

Author						Papers	Cites
Joel Waksman	91	78	68	57	52	16	396
Denise L. Howrie	74 0.8×	22 0.3×	33 0.5×	37 0.6×	28 0.5×	26	425
George Perentesis	63 0.7×	20 0.3×	34 0.5×	63 1.1×	36 0.7×	21	402
Jason Chou	36 0.4×	52 0.7×	75 1.1×	69 1.2×	13 0.3×	24	434
Hoi Y. Tong	119 1.3×	19 0.2×	37 0.5×	18 0.3×	50 1.0×	26	379
Nitin Chandurkar	108 1.2×	17 0.2×	60 0.9×	28 0.5×	18 0.3×	24	385
David R. Goldmann	41 0.5×	9 0.1×	76 1.1×	69 1.2×	11 0.2×	21	405
Evelyn Jones	55 0.6×	44 0.6×	27 0.4×	47 0.8×	77 1.5×	10	418
Paul K. Hanashiro	50 0.5×	23 0.3×	65 1.0×	31 0.5×	13 0.3×	19	417
Stacy L. Haber	34 0.4×	18 0.2×	30 0.4×	40 0.7×	18 0.3×	27	433
M. S. Lin	85 0.9×	16 0.2×	26 0.4×	62 1.1×	16 0.3×	20	338

Countries citing papers authored by Joel Waksman

Since Specialization

Citations

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

Fields of papers citing papers by Joel Waksman

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Joel Waksman. 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 Joel Waksman. The network helps show where Joel Waksman may publish in the future.

Co-authorship network of co-authors of Joel Waksman

This figure shows the co-authorship network connecting the top 25 collaborators of Joel Waksman. A scholar is included among the top collaborators of Joel Waksman 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 Joel Waksman. Joel Waksman 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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