Weimin Hong

43 total papers · 983 total citations
24 papers, 782 citations indexed

About

Weimin Hong is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Pharmacology. According to data from OpenAlex, Weimin Hong has authored 24 papers receiving a total of 782 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 17 papers in Cellular and Molecular Neuroscience and 2 papers in Pharmacology. Recurrent topics in Weimin Hong's work include Receptor Mechanisms and Signaling (17 papers), Pharmacological Receptor Mechanisms and Effects (11 papers) and Neuroscience and Neuropharmacology Research (10 papers). Weimin Hong is often cited by papers focused on Receptor Mechanisms and Signaling (17 papers), Pharmacological Receptor Mechanisms and Effects (11 papers) and Neuroscience and Neuropharmacology Research (10 papers). Weimin Hong collaborates with scholars based in United States, China and Poland. Weimin Hong's co-authors include Susan Amara, Jonathan L. Katz, Linda L. Werling, Takato Hiranita, Tsung‐Ping Su, Hideaki Yano, Michael H. Baumann, Bruce E. Blough, Richard B. Rothman and Kyle C. Schmitt and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Neuroscience and PLoS ONE.

In The Last Decade

Weimin Hong

21 papers receiving 778 citations

Author Peers

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

Author						Papers	Cites
Weimin Hong	561	478	86	68	56	24	782
Franca Cerrito	471 0.8×	726 1.5×	70 0.8×	80 1.2×	25 0.4×	27	863
Thomas Steinkellner	332 0.6×	490 1.0×	80 0.9×	57 0.8×	62 1.1×	29	728
S. Kitayama	455 0.8×	570 1.2×	61 0.7×	40 0.6×	29 0.5×	27	772
Ezio Bettini	410 0.7×	363 0.8×	35 0.4×	98 1.4×	30 0.5×	39	860
Philip F. Morgan	448 0.8×	402 0.8×	95 1.1×	37 0.5×	42 0.8×	25	854
Deborah R. McCarty	370 0.7×	499 1.0×	53 0.6×	72 1.1×	135 2.4×	12	815
Sigrun Leonhardt	396 0.7×	473 1.0×	32 0.4×	37 0.5×	29 0.5×	10	729
Nikhil K. Parelkar	546 1.0×	556 1.2×	38 0.4×	37 0.5×	56 1.0×	27	894
Jordi Camarasa	328 0.6×	465 1.0×	44 0.5×	115 1.7×	45 0.8×	31	757
Klaus Schicker	522 0.9×	472 1.0×	30 0.3×	43 0.6×	58 1.0×	39	830

Countries citing papers authored by Weimin Hong

Since Specialization

Citations

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

Fields of papers citing papers by Weimin Hong

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Weimin Hong

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