Su Jing Yang

19 total papers · 436 total citations
13 papers, 331 citations indexed

About

Su Jing Yang is a scholar working on Molecular Biology, Cell Biology and Surgery. According to data from OpenAlex, Su Jing Yang has authored 13 papers receiving a total of 331 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 2 papers in Cell Biology and 1 paper in Surgery. Recurrent topics in Su Jing Yang's work include ATP Synthase and ATPases Research (9 papers), Photosynthetic Processes and Mechanisms (7 papers) and Mitochondrial Function and Pathology (3 papers). Su Jing Yang is often cited by papers focused on ATP Synthase and ATPases Research (9 papers), Photosynthetic Processes and Mechanisms (7 papers) and Mitochondrial Function and Pathology (3 papers). Su Jing Yang collaborates with scholars based in Taiwan, United States and Norway. Su Jing Yang's co-authors include Shih Sheng Jiang, Rong Long Pan, Simon J.T. Mao, Junn-Liang Chang, Shih‐Hsuan Chan, I–Shou Chang, Huiping Liu, Lu‐Hai Wang, Shiu‐Feng Huang and B. Linju Yen and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Biochemical Journal and Clinical Cancer Research.

In The Last Decade

Su Jing Yang

13 papers receiving 325 citations

Author Peers

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

Author						Papers	Cites
Su Jing Yang	270	44	36	33	30	13	331
Linda Chee	261 1.0×	46 1.0×	30 0.8×	67 2.0×	22 0.7×	13	336
W. A. Nagle	198 0.7×	45 1.0×	31 0.9×	37 1.1×	31 1.0×	17	314
Hagen Roland Witzel	222 0.8×	56 1.3×	42 1.2×	29 0.9×	37 1.2×	16	299
Michail Yekelchyk	274 1.0×	83 1.9×	35 1.0×	40 1.2×	19 0.6×	9	364
Michael Reimer	268 1.0×	50 1.1×	25 0.7×	25 0.8×	10 0.3×	15	343
Sabine Vogel	143 0.5×	81 1.8×	44 1.2×	20 0.6×	16 0.5×	11	322
Dawn Sijin Nin	210 0.8×	44 1.0×	51 1.4×	41 1.2×	24 0.8×	13	309
Jonathon Klein	229 0.8×	25 0.6×	22 0.6×	15 0.5×	27 0.9×	12	312
Giulia Venturi	234 0.9×	37 0.8×	28 0.8×	29 0.9×	16 0.5×	20	285
Irene Felipe‐Abrio	229 0.8×	30 0.7×	33 0.9×	70 2.1×	27 0.9×	13	286

Countries citing papers authored by Su Jing Yang

Since Specialization

Citations

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

Fields of papers citing papers by Su Jing Yang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Su Jing Yang. 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 Su Jing Yang. The network helps show where Su Jing Yang may publish in the future.

Co-authorship network of co-authors of Su Jing Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Su Jing Yang. A scholar is included among the top collaborators of Su Jing Yang 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 Su Jing Yang. Su Jing Yang 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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