Changshan Geng

10 total papers · 740 total citations
9 papers, 594 citations indexed

About

Changshan Geng is a scholar working on Rheumatology, Molecular Biology and Pharmacology. According to data from OpenAlex, Changshan Geng has authored 9 papers receiving a total of 594 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Rheumatology, 5 papers in Molecular Biology and 5 papers in Pharmacology. Recurrent topics in Changshan Geng's work include Osteoarthritis Treatment and Mechanisms (8 papers), Inflammatory mediators and NSAID effects (5 papers) and Cytokine Signaling Pathways and Interactions (3 papers). Changshan Geng is often cited by papers focused on Osteoarthritis Treatment and Mechanisms (8 papers), Inflammatory mediators and NSAID effects (5 papers) and Cytokine Signaling Pathways and Interactions (3 papers). Changshan Geng collaborates with scholars based in Canada and United States. Changshan Geng's co-authors include Ginette Tardif, Jean‐Pierre Pelletier, John P. Caron, François Mineau, Johanne Martel‐Pelletier, Johanne Martel‐Pelletier, Jean‐Marie Cloutier, Martine Dupuis, Pascal Reboul and Johanne Martel‐Pelletier and has published in prestigious journals such as Biochemical and Biophysical Research Communications, Osteoarthritis and Cartilage and American Journal of Veterinary Research.

In The Last Decade

Changshan Geng

9 papers receiving 575 citations

Author Peers

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

Author						Papers	Cites
Changshan Geng	451	195	174	102	101	9	594
Johanne Martel‐Pelletier	381 0.8×	245 1.3×	257 1.5×	97 1.0×	67 0.7×	12	614
B.C. Søndergaard	420 0.9×	210 1.1×	175 1.0×	99 1.0×	132 1.3×	17	652
W. Bouaziz	415 0.9×	149 0.8×	272 1.6×	120 1.2×	96 1.0×	11	624
Yoko Hosaka	338 0.7×	125 0.6×	220 1.3×	65 0.6×	146 1.4×	15	544
Diana C. Brinson	261 0.6×	82 0.4×	225 1.3×	82 0.8×	100 1.0×	11	574
Bei Hopkins	462 1.0×	170 0.9×	161 0.9×	70 0.7×	84 0.8×	4	577
Pernille Høegh-Andersen	349 0.8×	203 1.0×	192 1.1×	156 1.5×	97 1.0×	8	628
N. Ogata	442 1.0×	106 0.5×	198 1.1×	67 0.7×	105 1.0×	7	625
E.U. Sumer	244 0.5×	96 0.5×	168 1.0×	57 0.6×	138 1.4×	12	496
Christophe Lesur	188 0.4×	78 0.4×	293 1.7×	111 1.1×	88 0.9×	11	504

Countries citing papers authored by Changshan Geng

Since Specialization

Citations

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

Fields of papers citing papers by Changshan Geng

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Changshan Geng

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