Ge Yunhui

126 total papers · 604 total citations
28 papers, 351 citations indexed

About

Ge Yunhui is a scholar working on Molecular Biology, Spectroscopy and Materials Chemistry. According to data from OpenAlex, Ge Yunhui has authored 28 papers receiving a total of 351 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Molecular Biology, 9 papers in Spectroscopy and 5 papers in Materials Chemistry. Recurrent topics in Ge Yunhui's work include Protein Structure and Dynamics (19 papers), Mass Spectrometry Techniques and Applications (8 papers) and Chemical Synthesis and Analysis (5 papers). Ge Yunhui is often cited by papers focused on Protein Structure and Dynamics (19 papers), Mass Spectrometry Techniques and Applications (8 papers) and Chemical Synthesis and Analysis (5 papers). Ge Yunhui collaborates with scholars based in United States, China and Belgium. Ge Yunhui's co-authors include Vincent A. Voelz, David L. Mobley, Jonathan W. Essex, Asghar M. Razavi, Marcus Fischer, Michael E. Wall, Feng Gai, Clara D. Christ, Jérémie Mortier and Hans Briem and has published in prestigious journals such as Journal of Biological Chemistry, The Journal of Chemical Physics and The Journal of Physical Chemistry B.

In The Last Decade

Ge Yunhui

26 papers receiving 347 citations

Author Peers

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

Author Last Decade Papers Cites
Ge Yunhui 266 79 75 65 31 28 351
Arghya Chakravorty 278 1.0× 71 0.9× 59 0.8× 35 0.5× 59 1.9× 23 358
Neil J. Bruce 282 1.1× 53 0.7× 106 1.4× 31 0.5× 24 0.8× 15 348
Jack A. Henderson 252 0.9× 51 0.6× 116 1.5× 25 0.4× 35 1.1× 16 365
Sergio Bacallado 227 0.9× 70 0.9× 68 0.9× 57 0.9× 41 1.3× 19 352
Seth Hayik 250 0.9× 87 1.1× 107 1.4× 34 0.5× 24 0.8× 11 356
S.L.-F. Chan 200 0.8× 35 0.4× 66 0.9× 30 0.5× 40 1.3× 22 353
Diego E. B. Gomes 193 0.7× 68 0.9× 83 1.1× 27 0.4× 32 1.0× 23 311
Tönu Kesvatera 196 0.7× 61 0.8× 67 0.9× 42 0.6× 42 1.4× 15 342
Michelle Southey 245 0.9× 67 0.8× 124 1.7× 42 0.6× 76 2.5× 15 334
Lingling Shen 189 0.7× 27 0.3× 74 1.0× 20 0.3× 28 0.9× 21 309

Countries citing papers authored by Ge Yunhui

Since Specialization
Citations

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

Fields of papers citing papers by Ge Yunhui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ge Yunhui

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