J C Winkelmann

14 total papers · 976 total citations
11 papers, 841 citations indexed

About

J C Winkelmann is a scholar working on Physiology, Molecular Biology and Hematology. According to data from OpenAlex, J C Winkelmann has authored 11 papers receiving a total of 841 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Physiology, 4 papers in Molecular Biology and 3 papers in Hematology. Recurrent topics in J C Winkelmann's work include Erythrocyte Function and Pathophysiology (5 papers), Cytokine Signaling Pathways and Interactions (2 papers) and Pancreatic function and diabetes (2 papers). J C Winkelmann is often cited by papers focused on Erythrocyte Function and Pathophysiology (5 papers), Cytokine Signaling Pathways and Interactions (2 papers) and Pancreatic function and diabetes (2 papers). J C Winkelmann collaborates with scholars based in United States and Germany. J C Winkelmann's co-authors include Bernard G. Forget, A L Scarpa, Jan‐Gowth Chang, V. Marchesi, William Tse, F. F. Costa, David W. Speicher, Kenneth E. Sahr, Leszek Kotula and P Laurila and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Biochemical and Biophysical Research Communications.

In The Last Decade

J C Winkelmann

11 papers receiving 827 citations

Author Peers

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

Author						Papers	Cites
J C Winkelmann	491	405	204	167	125	11	841
Tanya M. McLaughlin	180 0.4×	317 0.8×	150 0.7×	87 0.5×	90 0.7×	9	712
A L Scarpa	682 1.4×	379 0.9×	191 0.9×	307 1.8×	162 1.3×	14	922
Sharon Wald Krauss	277 0.6×	544 1.3×	294 1.4×	91 0.5×	52 0.4×	20	821
Jennifer Tucker	228 0.5×	444 1.1×	136 0.7×	142 0.9×	145 1.2×	14	963
Danuta Balicki	154 0.3×	602 1.5×	96 0.5×	68 0.4×	44 0.4×	14	989
John J. Dumas	117 0.2×	481 1.2×	417 2.0×	52 0.3×	76 0.6×	11	905
Neil V.P. Fernando	101 0.2×	196 0.5×	155 0.8×	125 0.7×	96 0.8×	13	837
Shin‐ichiro Numata	110 0.2×	561 1.4×	73 0.4×	75 0.4×	88 0.7×	13	887
Brian A. MacDonald	83 0.2×	387 1.0×	165 0.8×	66 0.4×	85 0.7×	13	919
Thomas D. Nightingale	140 0.3×	352 0.9×	262 1.3×	77 0.5×	50 0.4×	21	816

Countries citing papers authored by J C Winkelmann

Since Specialization

Citations

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

Fields of papers citing papers by J C Winkelmann

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J C Winkelmann. 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 J C Winkelmann. The network helps show where J C Winkelmann may publish in the future.

Co-authorship network of co-authors of J C Winkelmann

This figure shows the co-authorship network connecting the top 25 collaborators of J C Winkelmann. A scholar is included among the top collaborators of J C Winkelmann 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 J C Winkelmann. J C Winkelmann 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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