Yingli Ma

27 total papers · 918 total citations
16 papers, 594 citations indexed

About

Yingli Ma is a scholar working on Molecular Biology, Pharmacology and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Yingli Ma has authored 16 papers receiving a total of 594 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 6 papers in Pharmacology and 3 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Yingli Ma's work include Apelin-related biomedical research (5 papers), Receptor Mechanisms and Signaling (5 papers) and RNA Research and Splicing (3 papers). Yingli Ma is often cited by papers focused on Apelin-related biomedical research (5 papers), Receptor Mechanisms and Signaling (5 papers) and RNA Research and Splicing (3 papers). Yingli Ma collaborates with scholars based in United States, China and United Kingdom. Yingli Ma's co-authors include Erik Debler, André Hoelz, Hyuk‐Soo Seo, Günter Blobel, Liaoyuan A. Hu, Yunpeng Song, Thomas R. Noriega, Kuo‐Chiang Hsia, Xun Li and Wenge Zhong and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Molecular Cell and Biochemical Journal.

In The Last Decade

Yingli Ma

16 papers receiving 581 citations

Author Peers

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

Author Last Decade Papers Cites
Yingli Ma 397 137 102 92 81 16 594
Calvin Yee 285 0.7× 149 1.1× 44 0.4× 76 0.8× 72 0.9× 13 669
Marvin D. Bregman 358 0.9× 74 0.5× 88 0.9× 145 1.6× 54 0.7× 27 651
Ian L. Dale 453 1.1× 113 0.8× 46 0.5× 40 0.4× 28 0.3× 25 671
Alexandre Beautrait 465 1.2× 185 1.4× 37 0.4× 48 0.5× 32 0.4× 18 577
A. Bord 263 0.7× 159 1.2× 170 1.7× 47 0.5× 110 1.4× 12 592
E. Allen Sickmier 458 1.2× 72 0.5× 93 0.9× 58 0.6× 23 0.3× 18 617
Tau Benned‐Jensen 367 0.9× 162 1.2× 21 0.2× 133 1.4× 171 2.1× 22 645
Donna L. Pedicord 193 0.5× 66 0.5× 113 1.1× 105 1.1× 47 0.6× 17 526
Olivier Defert 351 0.9× 38 0.3× 50 0.5× 57 0.6× 48 0.6× 14 672
Michimoto Kobayashi 417 1.1× 100 0.7× 26 0.3× 51 0.6× 38 0.5× 14 621

Countries citing papers authored by Yingli Ma

Since Specialization
Citations

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

Fields of papers citing papers by Yingli Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yingli Ma

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