R. Jeffrey Neitz

45 total papers · 1.6k total citations
20 papers, 967 citations indexed

About

R. Jeffrey Neitz is a scholar working on Molecular Biology, Public Health, Environmental and Occupational Health and Pharmacology. According to data from OpenAlex, R. Jeffrey Neitz has authored 20 papers receiving a total of 967 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 6 papers in Public Health, Environmental and Occupational Health and 5 papers in Pharmacology. Recurrent topics in R. Jeffrey Neitz's work include Ubiquitin and proteasome pathways (6 papers), Research on Leishmaniasis Studies (6 papers) and Endoplasmic Reticulum Stress and Disease (5 papers). R. Jeffrey Neitz is often cited by papers focused on Ubiquitin and proteasome pathways (6 papers), Research on Leishmaniasis Studies (6 papers) and Endoplasmic Reticulum Stress and Disease (5 papers). R. Jeffrey Neitz collaborates with scholars based in United States, Netherlands and Switzerland. R. Jeffrey Neitz's co-authors include I. I. CREASER, Michael T. Pope, William Roush, Michelle R. Arkin, Stacie L. Bulfer, Peter Wipf, Donna M. Huryn, Yongzhao Yan, Neal Green and Raymond J. Deshaies and has published in prestigious journals such as Science, Journal of the American Chemical Society and Angewandte Chemie International Edition.

In The Last Decade

R. Jeffrey Neitz

19 papers receiving 957 citations

Author Peers

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

Author						Papers	Cites
R. Jeffrey Neitz	447	233	221	184	168	20	967
Daouda A. K. Traoré	550 1.2×	125 0.5×	88 0.4×	38 0.2×	53 0.3×	40	1.1k
Laurent Vuillard	761 1.7×	184 0.8×	57 0.3×	92 0.5×	71 0.4×	33	1.2k
Inmaculada Pérez‐Dorado	507 1.1×	116 0.5×	47 0.2×	151 0.8×	179 1.1×	25	821
Stanley Nithianantham	504 1.1×	76 0.3×	118 0.5×	163 0.9×	80 0.5×	36	1.1k
A.K. Roos	477 1.1×	250 1.1×	49 0.2×	34 0.2×	43 0.3×	31	965
Luis Fuentes‐Montero	480 1.1×	346 1.5×	43 0.2×	62 0.3×	41 0.2×	25	937
Karthik S. Paithankar	575 1.3×	384 1.6×	37 0.2×	50 0.3×	34 0.2×	18	948
Peter Haebel	828 1.9×	236 1.0×	62 0.3×	191 1.0×	39 0.2×	23	1.1k
W.G.J. Hol	565 1.3×	240 1.0×	59 0.3×	136 0.7×	40 0.2×	20	1.1k
S.E. McPhillips	545 1.2×	458 2.0×	190 0.9×	36 0.2×	66 0.4×	14	1.2k

Countries citing papers authored by R. Jeffrey Neitz

Since Specialization

Citations

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

Fields of papers citing papers by R. Jeffrey Neitz

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by R. Jeffrey Neitz. 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 R. Jeffrey Neitz. The network helps show where R. Jeffrey Neitz may publish in the future.

Co-authorship network of co-authors of R. Jeffrey Neitz

This figure shows the co-authorship network connecting the top 25 collaborators of R. Jeffrey Neitz. A scholar is included among the top collaborators of R. Jeffrey Neitz 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 R. Jeffrey Neitz. R. Jeffrey Neitz 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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