Lan Ni

2.0k citations
32 papers · 1.5k · 1 hit paper · h-index 20

Impact in

Papers in

Lan Ni

32 papers receiving 1.4k citations

Lan Ni's Hit Papers

The presence of SARS‐CoV‐2 RNA in the feces of COVID‐19 patients 2020 · 600 citations
6000+2+4Years since publication200400600

Peers

Lan Ni
Comparison fields: 5 of 108
  • Infectious Diseases 479
  • Internal Medicine 48
  • General Dentistry 21
  • Biological Psychiatry 31
  • Cardiology and Cardiovascular Medicine 263
Replace Man Li with:
Man Li China
Shujuan Li China
Paari Dominic United States
Hilda Ahnstedt United States
Luca Bernasconi Switzerland
Maria Cristina Monti Italy
Zhihan Yan China
Philippe Le Corvoisier France
Maciej Radek Poland
Lan Ni relative to Man Li China Man Li's profile →
Citations per field
00.5×10×15×21.3×
Man Li · 1×
Citations per year

Countries citing papers authored by Lan Ni

Since Specialization
Citations

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

Fields of papers citing papers by Lan Ni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Lan 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 Lan Ni Line = papers co-authored together Lan Ni links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1
The presence of SARS‐CoV‐2 RNA in the feces of COVID‐19 patients
Hit paper breakdown →
2020600
2 200966
3 200064
4 200160
5 200957
6 201055
7 200951
8 201141
9 202040
10 201537
11 201735
12 201831
13 201631
14 201030
15 202027
16 202026
17 201426
18 201220
19 201519
20 201519

About Lan Ni

Lan Ni is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Cellular and Molecular Neuroscience, Surgery and Pulmonary and Respiratory Medicine, having authored 32 papers that have together received 1.5k indexed citations. Recurring topics across this work include Antiplatelet Therapy and Cardiovascular Diseases (7 papers), Neuroscience and Neuropharmacology Research (5 papers), Lipoproteins and Cardiovascular Health (4 papers), Receptor Mechanisms and Signaling (3 papers), SARS-CoV-2 and COVID-19 Research (3 papers), COVID-19 Clinical Research Studies (3 papers), Neuroinflammation and Neurodegeneration Mechanisms (2 papers) and Colorectal Cancer Treatments and Studies (2 papers). The work is most often cited by research in Infectious Diseases (479 citations), Internal Medicine (48 citations), General Dentistry (21 citations), Biological Psychiatry (31 citations) and Cardiology and Cardiovascular Medicine (263 citations). Lan Ni has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Zhenshun Cheng, Chaojie Wei, Wei Wang, Jiong Yang, Bing Liu, Guqin Zhang, Qiaoling Deng, Yifei Chen, Kaisong Wu and Guangming Ye. Their work appears in journals such as The Journal of Clinical Pharmacology, Journal of Clinical Oncology, PLoS ONE, Aging Cell and Scientific Reports.

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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