Xiaomin Wan

1.4k citations
71 papers · 1.0k · h-index 17

Impact in

  • Oncology top 10%
    • Cancer Immunotherapy and Biomarkers
    • Lung Cancer Research Studies
    • Pancreatic and Hepatic Oncology Research
    • Lung Cancer Treatments and Mutations
    • Renal cell carcinoma treatment
    • Gastric Cancer Management and Outcomes

Papers in

Xiaomin Wan

70 papers receiving 1.0k citations

Peers

Xiaomin Wan
Comparison fields: 5 of 81
  • Oncology 309
  • Pulmonary and Respiratory Medicine 286
  • Hepatology 41
  • Otorhinolaryngology 12
  • Cancer Research 36
Replace Chongqing Tan with:
Chongqing Tan China
Mihaela Mates Canada
Pedro Nazareth Aguiar Brazil
Artur Katz Brazil
Serafina Mammoliti Italy
Aly‐Khan A. Lalani Canada
Kristen Spencer United States
Meghan Shea United States
Bettina Bisig Switzerland
Supriya Chopra India
Xiaomin Wan relative to Chongqing Tan China Chongqing Tan's profile →
Citations per field
00.5×1.5×
Chongqing Tan · 1×
Citations per year

Countries citing papers authored by Xiaomin Wan

Since Specialization
Citations

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

Fields of papers citing papers by Xiaomin Wan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 71 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019134
2 201991
3 201342
4 201941
5 201540
6 201238
7 201538
8 200936
9 201930
10 201324
11 201423
12 202022
13 202120
14 202219
15 202119
16 201918
17 201718
18 201816
19 202216
20 202215

About Xiaomin Wan

Xiaomin Wan is a scholar working on Oncology, Pulmonary and Respiratory Medicine, Economics and Econometrics, Surgery and Rheumatology, having authored 71 papers that have together received 1.0k indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (12 papers), Economic and Financial Impacts of Cancer (7 papers), Renal cell carcinoma treatment (5 papers), Health Systems, Economic Evaluations, Quality of Life (5 papers), Lung Cancer Treatments and Mutations (5 papers), Bladder and Urothelial Cancer Treatments (4 papers), Rheumatoid Arthritis Research and Therapies (4 papers) and Multiple Myeloma Research and Treatments (3 papers). The work is most often cited by research in Oncology (309 citations), Pulmonary and Respiratory Medicine (286 citations), Hepatology (41 citations), Otorhinolaryngology (12 citations) and Cancer Research (36 citations). Xiaomin Wan has collaborated with scholars based in China, Australia and United Kingdom. Frequent co-authors include Chongqing Tan, Xiaohui Zeng, Liubao Peng, Xia Luo, Yucong Zhang, Lidan Yi, Sini Li, Jianhe Li, Qiao Liu and Peng Ye. Their work appears in journals such as Frontiers in Pharmacology, Advances in Therapy, PLoS ONE, Clinical Therapeutics and PharmacoEconomics.

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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