Chen‐Hua Yan

4.8k citations
182 papers · 3.1k indexed · h-index 28

Chen‐Hua Yan

172 papers receiving 3.0k citations

Peers

Chen‐Hua Yan
Comparison fields: 5 of 75
  • Hematology 2.6k
  • Transplantation 148
  • Immunology 898
  • Oncology 946
  • Public Health, Environmental and Occupational Health 915
Replace Xiao‐Dong Mo with:
Xiao‐Dong Mo China
Johanna Tischer Germany
Paolo Di Bartolomeo Italy
Stefania Bregante Italy
Sergio Giralt United States
Alida Dominietto Italy
Yu‐Hong Chen China
Tatjana Zabelina Germany
Kazuteru Ohashi Japan
Ofira Ben‐Tal Israel
Chen‐Hua Yan relative to Xiao‐Dong Mo China Xiao‐Dong Mo's profile →
Citations per field
00.5×1.5×2.0×
Xiao‐Dong Mo · 1×
Citations per year

Countries citing papers authored by Chen‐Hua Yan

Since Specialization
Citations

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

Fields of papers citing papers by Chen‐Hua Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chen‐Hua Yan. 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 Chen‐Hua Yan. The network helps show where Chen‐Hua Yan may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20249
2 20241
3 20238
4 20231
5 20233
6 20230
7 202211
8 20227
9 20227
10 20227
11 20213
12 202110
13 201814
14 20177
15 201618
16 201546
17
[Cytomegalovirus specific cytotoxic T lymphocytes for treatment of refractory cytomegalovirus infection in patients following allogeneic hematopoietic stem cell transplantation].
20155
18 20134
19
[Etiological analysis of fever in the first 24 hours following allogeneic peripheral stem cell transfusion].
20124
20
Etiology of diarrhea after allogeneic haemopoietic stem cell transplantation: a retrospective study.
20092

About Chen‐Hua Yan

Chen‐Hua Yan is a scholar working on Hematology, Transplantation, Public Health, Environmental and Occupational Health, Immunology and Oncology, having authored 182 papers that have together received 3.1k indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (137 papers), Acute Myeloid Leukemia Research (76 papers), Acute Lymphoblastic Leukemia research (61 papers), Immune Cell Function and Interaction (27 papers), Polyomavirus and related diseases (20 papers), Cytomegalovirus and herpesvirus research (20 papers), T-cell and B-cell Immunology (15 papers) and Renal Transplantation Outcomes and Treatments (14 papers). The work is most often cited by research in Hematology (2.6k citations), Transplantation (148 citations), Immunology (898 citations), Oncology (946 citations) and Public Health, Environmental and Occupational Health (915 citations). Chen‐Hua Yan has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Xiao‐Jun Huang, Lan‐Ping Xu, Yu Wang, Kai‐Yan Liu, Xiaohui Zhang, Yu‐Hong Chen, Huan Chen, Feng‐Rong Wang, Xiao‐Dong Mo and Wei Han. Their work appears in journals such as Biology of Blood and Marrow Transplantation, Annals of Hematology, Bone Marrow Transplantation, Blood and British Journal of Haematology.

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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