Pan Tan

50 total papers · 533 total citations
26 papers, 304 citations indexed

About

Pan Tan is a scholar working on Molecular Biology, Materials Chemistry and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Pan Tan has authored 26 papers receiving a total of 304 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 9 papers in Materials Chemistry and 6 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Pan Tan's work include Protein Structure and Dynamics (11 papers), RNA and protein synthesis mechanisms (6 papers) and Machine Learning in Bioinformatics (5 papers). Pan Tan is often cited by papers focused on Protein Structure and Dynamics (11 papers), RNA and protein synthesis mechanisms (6 papers) and Machine Learning in Bioinformatics (5 papers). Pan Tan collaborates with scholars based in China, United Kingdom and United States. Pan Tan's co-authors include Liang Hong, Eugene Mamontov, Xiangjun Xing, Jinglai Li, Qin Xu, Jeremy C. Smith, Loukas Petridis, Lirong Zheng, Zhuo Liu and Guisheng Fan and has published in prestigious journals such as Physical Review Letters, Nature Communications and The Journal of Chemical Physics.

In The Last Decade

Pan Tan

25 papers receiving 292 citations

Author Peers

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

Author						Papers	Cites
Pan Tan	151	73	60	40	35	26	304
Tetsuro Nagai	168 1.1×	64 0.9×	79 1.3×	50 1.3×	23 0.7×	27	295
Piotr Zolnierczuk	180 1.2×	39 0.5×	73 1.2×	47 1.2×	11 0.3×	41	315
Roberto A. Garza‐López	159 1.1×	37 0.5×	57 0.9×	139 3.5×	17 0.5×	29	341
Ryosuke Ishizuka	111 0.7×	91 1.2×	137 2.3×	48 1.2×	32 0.9×	21	332
Wylie Stroberg	158 1.0×	35 0.5×	21 0.3×	63 1.6×	10 0.3×	22	320
Stefan Kesselheim	64 0.4×	67 0.9×	25 0.4×	97 2.4×	28 0.8×	17	229
В. Ф. Морозов	215 1.4×	101 1.4×	87 1.4×	57 1.4×	31 0.9×	46	359
Meiting Wang	176 1.2×	56 0.8×	84 1.4×	32 0.8×	18 0.5×	31	332
Xiaohui Wang	164 1.1×	65 0.9×	59 1.0×	16 0.4×	26 0.7×	28	276
R. E. Belardinelli	56 0.4×	101 1.4×	90 1.5×	35 0.9×	15 0.4×	14	324

Countries citing papers authored by Pan Tan

Since Specialization

Citations

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

Fields of papers citing papers by Pan Tan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pan Tan

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