Muhan Ni

406 citations
24 papers · 268 · h-index 10

Impact in

Papers in

Muhan Ni

21 papers receiving 265 citations

Peers

Muhan Ni
Comparison fields: 5 of 35
  • Health Informatics 9
  • Gastroenterology 31
  • Pulmonary and Respiratory Medicine 111
  • Oncology 93
  • Radiology, Nuclear Medicine and Imaging 49
Replace Jeroen de Groof with:
Jeroen de Groof Netherlands
Yohei Ikenoyama Japan
Noboru Yatagai Japan
Shunsuke Kamba Japan
Johannes Manzeneder Germany
Yusaku Shimamoto Japan
Meng-Chiung Lin Taiwan
Mingwen Guo China
Tomoyuki Ishigaki Japan
Kiki Fockens Netherlands
Muhan Ni relative to Jeroen de Groof Netherlands Jeroen de Groof's profile →
Citations per field
00.5×2.6×
Jeroen de Groof · 1×
Citations per year

Countries citing papers authored by Muhan Ni

Since Specialization
Citations

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

Fields of papers citing papers by Muhan Ni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202056
2 202233
3 202125
4 202125
5 202323
6 202120
7 202216
8 202215
9 202115
10 202110
11 20234
12 20244
13 20234
14 20224
15 20233
16 20223
17 20242
18 20232
19 20232
20 20221

About Muhan Ni

Muhan Ni is a scholar working on Oncology, Pulmonary and Respiratory Medicine, Surgery, Gastroenterology and Epidemiology, having authored 24 papers that have together received 268 indexed citations. Recurring topics across this work include Gastrointestinal Tumor Research and Treatment (5 papers), Gastric Cancer Management and Outcomes (5 papers), Pancreatic and Hepatic Oncology Research (4 papers), AI in cancer detection (2 papers), PARP inhibition in cancer therapy (1 paper), Radiomics and Machine Learning in Medical Imaging (1 paper), Cancer Genomics and Diagnostics (1 paper) and Lung Cancer Research Studies (1 paper). The work is most often cited by research in Health Informatics (9 citations), Gastroenterology (31 citations), Pulmonary and Respiratory Medicine (111 citations), Oncology (93 citations) and Radiology, Nuclear Medicine and Imaging (49 citations). Muhan Ni has collaborated with scholars based in China, United States and Vietnam. Frequent co-authors include Guifang Xu, Dehua Tang, Lei Wang, Xiaoping Zou, Qiang Zhan, Ying Lv, Yiwei Fu, Xiaoping Zou, Lei Wang and Huimin Guo. Their work appears in journals such as Clinical and Translational Gastroenterology, Journal of Gastroenterology and Hepatology, Gastrointestinal Endoscopy, EBioMedicine and Surgical Endoscopy.

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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