Tian Geng

107 total papers · 1.3k total citations
40 papers, 690 citations indexed

About

Tian Geng is a scholar working on Molecular Biology, Electrical and Electronic Engineering and Materials Chemistry. According to data from OpenAlex, Tian Geng has authored 40 papers receiving a total of 690 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 7 papers in Electrical and Electronic Engineering and 7 papers in Materials Chemistry. Recurrent topics in Tian Geng's work include Radiation Detection and Scintillator Technologies (4 papers), Protein Structure and Dynamics (3 papers) and Endoplasmic Reticulum Stress and Disease (3 papers). Tian Geng is often cited by papers focused on Radiation Detection and Scintillator Technologies (4 papers), Protein Structure and Dynamics (3 papers) and Endoplasmic Reticulum Stress and Disease (3 papers). Tian Geng collaborates with scholars based in China, United States and Germany. Tian Geng's co-authors include Hermann Schindelin, William J. Lennarz, Robert Noiva, Song Xiang, Liping Jing, Albert Sickmann, Urs Lewandrowski, Prakash Rucktooa, Elena Segala and A.S. Dore and has published in prestigious journals such as Cell, Journal of Biological Chemistry and Angewandte Chemie International Edition.

In The Last Decade

Tian Geng

37 papers receiving 682 citations

Author Peers

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

Author						Papers	Cites
Tian Geng	378	290	84	74	68	40	690
Leonard M. G. Chavas	519 1.4×	134 0.5×	185 2.2×	81 1.1×	37 0.5×	43	779
A. Yu. Denisov	464 1.2×	165 0.6×	46 0.5×	63 0.9×	34 0.5×	61	787
Oscar P. Chilson	431 1.1×	159 0.5×	95 1.1×	119 1.6×	21 0.3×	32	775
Zhiru Yang	510 1.3×	55 0.2×	187 2.2×	140 1.9×	26 0.4×	20	774
James P. Robblee	449 1.2×	196 0.7×	116 1.4×	24 0.3×	18 0.3×	20	643
Kiyoshi Ogura	341 0.9×	62 0.2×	26 0.3×	94 1.3×	84 1.2×	34	720
Mika Hirose	471 1.2×	44 0.2×	179 2.1×	27 0.4×	44 0.6×	49	746
R.W.A. Oliver	360 1.0×	148 0.5×	62 0.7×	50 0.7×	20 0.3×	48	731
Frederik W. Lund	447 1.2×	135 0.5×	44 0.5×	38 0.5×	9 0.1×	26	657
Mazen Ahmad	463 1.2×	149 0.5×	119 1.4×	20 0.3×	18 0.3×	19	649

Countries citing papers authored by Tian Geng

Since Specialization

Citations

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

Fields of papers citing papers by Tian Geng

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tian Geng

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