Xiaoming Pan

44 papers receiving 591 citations

Xiaoming Pan's Hit Papers

Allogeneic CD19-targeted CAR-T therapy in patients with severe myositis and systemic sclerosis 2024 · 213 citations
2130+1Years since publication50100150200

Peers

Xiaoming Pan
Comparison fields: 5 of 66
  • Transplantation 60
  • Oncology 136
  • Biological Psychiatry 7
  • Pathology and Forensic Medicine 65
  • Behavioral Neuroscience 8
Replace Lukas Haragsim with:
Lukas Haragsim United States
Domonkos Pap Hungary
Hongyan Zhang China
Kazunori Iwasaki Japan
Firhaad Ismail United States
HU Wei-lie China
Yoshiyuki Shiroyanagi Japan
S. Thomas United States
Pekka Autio Finland
Xiaoming Pan relative to Lukas Haragsim United States Lukas Haragsim's profile →
Citations per field
00.5×5×10×14.6×
Lukas Haragsim · 1×
Citations per year

Countries citing papers authored by Xiaoming Pan

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoming Pan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Xiaoming Pan, 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 Xiaoming Pan Line = papers co-authored together Xiaoming Pan 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
Allogeneic CD19-targeted CAR-T therapy in patients with severe myositis and systemic sclerosis
Hit paper breakdown →
2024213
2 201841
3 200929
4 202027
5 200923
6 201623
7 201119
8 201918
9 201317
10 201916
11 202314
12 201713
13 202013
14 202312
15 201011
16 200910
17 201410
18 20139
19 20147
20
Experimental studies on islets isolation, purification and function in rats.
20157

About Xiaoming Pan

Xiaoming Pan is a scholar working on Transplantation, Pathology and Forensic Medicine, Surgery, Pharmacology and Public Health, Environmental and Occupational Health, having authored 47 papers that have together received 609 indexed citations. Recurring topics across this work include Renal Transplantation Outcomes and Treatments (15 papers), Pancreatic function and diabetes (6 papers), Cytomegalovirus and herpesvirus research (3 papers), T-cell and B-cell Immunology (2 papers), Reproductive Biology and Fertility (2 papers), Ovarian function and disorders (2 papers), Breast Lesions and Carcinomas (2 papers) and Fungal Biology and Applications (2 papers). The work is most often cited by research in Transplantation (60 citations), Oncology (136 citations), Biological Psychiatry (7 citations), Pathology and Forensic Medicine (65 citations) and Behavioral Neuroscience (8 citations). Xiaoming Pan has collaborated with scholars based in China, Canada and Iran. Frequent co-authors include Wujun Xue, Chenguang Ding, Xiaohui Tian, Xiaoming Ding, Haohao Chen, Mingxing Ding, Hang Yan, Heli Xiang, Puxun Tian and Qun Zheng. Their work appears in journals such as Journal of Zhejiang University SCIENCE B, BMC Nephrology, BioMed Research International, International Journal of Clinical Practice and Renal Failure.

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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