Manshi Li

64 total papers · 946 total citations
46 papers, 627 citations indexed

About

Manshi Li is a scholar working on Pulmonary and Respiratory Medicine, Epidemiology and Surgery. According to data from OpenAlex, Manshi Li has authored 46 papers receiving a total of 627 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Pulmonary and Respiratory Medicine, 13 papers in Epidemiology and 9 papers in Surgery. Recurrent topics in Manshi Li's work include Pulmonary Hypertension Research and Treatments (9 papers), Sepsis Diagnosis and Treatment (4 papers) and Transcranial Magnetic Stimulation Studies (4 papers). Manshi Li is often cited by papers focused on Pulmonary Hypertension Research and Treatments (9 papers), Sepsis Diagnosis and Treatment (4 papers) and Transcranial Magnetic Stimulation Studies (4 papers). Manshi Li collaborates with scholars based in United States, China and Brazil. Manshi Li's co-authors include Xiaofeng Wang, Abhijit Duggal, Seth R. Bauer, Bo Hu, James Bena, Anita Reddy, Raed A. Dweik, Gustavo A. Heresi, Rizwan Ahmad Khan and David M. Lang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Gastroenterology and PLoS ONE.

In The Last Decade

Manshi Li

44 papers receiving 620 citations

Author Peers

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

Author						Papers	Cites
Manshi Li	175	154	109	87	76	46	627
Marina Romano	198 1.1×	94 0.6×	95 0.9×	22 0.3×	15 0.2×	41	615
Myung Kwan Lim	139 0.8×	43 0.3×	168 1.5×	22 0.3×	41 0.5×	37	690
Alan McDougall	191 1.1×	73 0.5×	34 0.3×	64 0.7×	13 0.2×	41	722
Hai Liu	70 0.4×	71 0.5×	232 2.1×	66 0.8×	9 0.1×	45	728
A Cabrera	211 1.2×	209 1.4×	259 2.4×	16 0.2×	107 1.4×	72	679
Jae Wook Ryoo	297 1.7×	195 1.3×	92 0.8×	22 0.3×	29 0.4×	39	728
Anna Sowińska	155 0.9×	60 0.4×	80 0.7×	71 0.8×	8 0.1×	69	722
Leah J. Blank	102 0.6×	107 0.7×	89 0.8×	42 0.5×	35 0.5×	36	641
S. Bhargava	60 0.3×	109 0.7×	317 2.9×	49 0.6×	59 0.8×	45	656
Irene Steiner	80 0.5×	34 0.2×	61 0.6×	43 0.5×	15 0.2×	60	792

Countries citing papers authored by Manshi Li

Since Specialization

Citations

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

Fields of papers citing papers by Manshi Li

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Manshi Li

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