Manshi Li

963 citations
46 papers · 641 indexed · h-index 15
Topics
Pulmonary Hypertension Research and Treatments (9 papers)Bacterial Infections and Vaccines (4 papers)Transcranial Magnetic Stimulation Studies (4 papers)
Journals
SHILAP Revista de lepidopterologíaGastroenterologyPLoS ONE
Partner nations
United StatesChinaBrazil

In The Last Decade

Manshi Li

44 papers receiving 633 citations

Peers

Manshi Li
Comparison fields: 5 of 89
  • Epidemiology 180
  • Pulmonary and Respiratory Medicine 158
  • Surgery 114
  • Oncology 87
  • Microbiology 76
Replace Irene Steiner with:
Irene Steiner Austria
R. Davidson United States
Frederick Palm Germany
Natalia Mena‐Vázquez Spain
Giacomo Spinato Italy
Patricia Pastor Spain
Paul Lennon Ireland
Hsin‐Yi Yang Taiwan
Hyeon Hui Kang South Korea
Eric J. Mahoney United States
Manshi Li relative to Irene Steiner Austria Irene Steiner's profile →
Citations per field
00.5×5.1×
Irene Steiner · 1×
Citations per year

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

20 of 20 papers shown
#WorkIndexed citations
1 0
2 27
3 3
4 11
5 2
6 3
7 28
8 16
9 41
10 22
11 43
12 31
13 2
14 8
15 5
16 19
17 2
18 43
19
[Pathogenis surveillance of epidemic cerebrospinal meningitis in Shandong Province in 2007/2008].
1
20 30

About Manshi Li

Manshi Li is a scholar working on Microbiology, Toxicology and Hepatology, having authored 46 papers that have together received 641 indexed citations. Recurring topics across this work include Pulmonary Hypertension Research and Treatments (9 papers), Bacterial Infections and Vaccines (4 papers) and Transcranial Magnetic Stimulation Studies (4 papers). The work is most often cited by research in Microbiology (76 citations), Hepatology (47 citations) and Critical Care and Intensive Care Medicine (28 citations). Manshi Li has collaborated with scholars based in United States, China and Brazil. Frequent co-authors include Xiaofeng Wang, Abhijit Duggal, Seth R. Bauer, Anita Reddy, James Bena, Bo Hu, Gustavo A. Heresi, David M. Lang, Rizwan Ahmad Khan and Raed A. Dweik. Their work appears in journals such as SHILAP Revista de lepidopterología, Gastroenterology and PLoS ONE.

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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