Wentao Ni

2.9k citations
47 papers · 2.0k · 1 hit paper · h-index 22

Impact in

Papers in

Wentao Ni

44 papers receiving 2.0k citations

Wentao Ni's Hit Papers

Role of angiotensin-converting enzyme 2 (ACE2) in COVID-19 2020 · 816 citations
8160+2+4Years since publication250500750

Peers

Wentao Ni
Comparison fields: 5 of 122
  • Molecular Medicine 627
  • Applied Microbiology and Biotechnology 115
  • Endocrinology 208
  • Infectious Diseases 600
  • Pharmacology 309
Replace Shio‐Shin Jean with:
Shio‐Shin Jean Taiwan
You-ning Liu China
Sébastien Tanaka France
Sun Young Cho South Korea
Yves Van Laethem Belgium
Giusy Tiseo Italy
Medini K. Annavajhala United States
Christine J. Kubin United States
Matthaios Papadimitriou‐Olivgeris Switzerland
Min‐Chi Lu Taiwan
Wentao Ni relative to Shio‐Shin Jean Taiwan Shio‐Shin Jean's profile →
Citations per field
00.5×1.5×
Shio‐Shin Jean · 1×
Citations per year

Countries citing papers authored by Wentao Ni

Since Specialization
Citations

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

Fields of papers citing papers by Wentao Ni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Wentao Ni, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Wentao Ni Line = papers co-authored together Wentao Ni links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Role of angiotensin-converting enzyme 2 (ACE2) in COVID-19
Hit paper breakdown →
2020816
2 2016108
3 2014103
4 201689
5 201580
6 201579
7 201668
8 202056
9 202249
10 201646
11 201339
12 201534
13 201533
14 201533
15 201531
16 201827
17 201726
18 201825
19 201923
20 202322

About Wentao Ni

Wentao Ni is a scholar working on Molecular Medicine, Pharmacology, Epidemiology, Pollution and Endocrinology, having authored 47 papers that have together received 2.0k indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (23 papers), Antibiotics Pharmacokinetics and Efficacy (16 papers), Pharmaceutical and Antibiotic Environmental Impacts (8 papers), Infections and bacterial resistance (5 papers), Pneumonia and Respiratory Infections (3 papers), Pneumocystis jirovecii pneumonia detection and treatment (3 papers), Antibiotic Use and Resistance (3 papers) and Bacterial biofilms and quorum sensing (3 papers). The work is most often cited by research in Molecular Medicine (627 citations), Applied Microbiology and Biotechnology (115 citations), Endocrinology (208 citations), Infectious Diseases (600 citations) and Pharmacology (309 citations). Wentao Ni has collaborated with scholars based in China, Philippines and United States. Frequent co-authors include Junchang Cui, You-ning Liu, Zhancheng Gao, Jin Zhao, Chuanqi Wei, Jing Bao, Xiuwen Yang, Deqing Yang, Yu Xu and Donghong Yang. Their work appears in journals such as Frontiers in Microbiology, PLoS ONE, The Journal of Antibiotics, Infectious Diseases and International Journal of Antimicrobial Agents.

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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