Ling Shen

53 total papers · 5.2k total citations
29 papers, 401 citations indexed

About

Ling Shen is a scholar working on Molecular Biology, Infectious Diseases and Computational Theory and Mathematics. According to data from OpenAlex, Ling Shen has authored 29 papers receiving a total of 401 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 5 papers in Infectious Diseases and 5 papers in Computational Theory and Mathematics. Recurrent topics in Ling Shen's work include Computational Drug Discovery Methods (5 papers), SARS-CoV-2 and COVID-19 Research (4 papers) and Cancer-related molecular mechanisms research (3 papers). Ling Shen is often cited by papers focused on Computational Drug Discovery Methods (5 papers), SARS-CoV-2 and COVID-19 Research (4 papers) and Cancer-related molecular mechanisms research (3 papers). Ling Shen collaborates with scholars based in China, United States and Germany. Ling Shen's co-authors include Liqian Zhou, Lihong Peng, Li Huang, Xiongfei Tian, Fu‐Xing Liu, Andreas von Deimling, Pui–Yan Kwok, Mengshu Xu, Adam B. Olshen and Iwei Yeh and has published in prestigious journals such as Blood, PLoS ONE and JNCI Journal of the National Cancer Institute.

In The Last Decade

Ling Shen

26 papers receiving 399 citations

Author Peers

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

Author						Papers	Cites
Ling Shen	262	101	94	67	44	29	401
Zhuoya Wang	144 0.5×	69 0.7×	32 0.3×	28 0.4×	29 0.7×	31	424
Martin Jones	186 0.7×	80 0.8×	106 1.1×	22 0.3×	16 0.4×	25	350
Anjaiah Srirangam	189 0.7×	135 1.3×	64 0.7×	16 0.2×	69 1.6×	13	410
Sharon Shechter	264 1.0×	61 0.6×	49 0.5×	21 0.3×	21 0.5×	22	371
Mu‐Chun Li	213 0.8×	68 0.7×	27 0.3×	18 0.3×	32 0.7×	22	401
Deepak Bararia	205 0.8×	78 0.8×	37 0.4×	24 0.4×	38 0.9×	17	446
Nicolas Frances	221 0.8×	189 1.9×	71 0.8×	12 0.2×	27 0.6×	22	433
Shaolin Ma	199 0.8×	122 1.2×	74 0.8×	8 0.1×	25 0.6×	33	360
Elizabeth Stewart	207 0.8×	135 1.3×	74 0.8×	25 0.4×	15 0.3×	21	410
William Dampier	257 1.0×	86 0.9×	44 0.5×	45 0.7×	50 1.1×	13	401

Countries citing papers authored by Ling Shen

Since Specialization

Citations

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

Fields of papers citing papers by Ling Shen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ling Shen

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