Baolin Tang

698 citations
64 papers · 398 · h-index 12

Impact in

  • Hematology top 5%
    • Hematopoietic Stem Cell Transplantation
    • Acute Myeloid Leukemia Research
    • Mesenchymal stem cell research

Papers in

    • Hematopoietic Stem Cell Transplantation 31
    • Acute Myeloid Leukemia Research 18
    • Polyomavirus and related diseases 9
    • Neutropenia and Cancer Infections 5

Baolin Tang

56 papers receiving 395 citations

Peers

Baolin Tang
Comparison fields: 5 of 59
  • Hematology 241
  • Genetics 61
  • Oncology 89
  • Transplantation 7
  • Public Health, Environmental and Occupational Health 67
Replace Liangquan Geng with:
Liangquan Geng China
Fahad Almohareb Saudi Arabia
Yuju Ohno Japan
Weihua Zhai China
Pınar Ataca Atilla Türkiye
Giorgia Battipaglia France
Ramya Uppuluri India
C. Arthur United Kingdom
Irene Cavattoni Italy
Sameh Ayari France
Baolin Tang relative to Liangquan Geng China Liangquan Geng's profile →
Citations per field
00.5×2×3×3.8×
Liangquan Geng · 1×
Citations per year

Countries citing papers authored by Baolin Tang

Since Specialization
Citations

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

Fields of papers citing papers by Baolin Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 64 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202143
2 201639
3 201422
4 201319
5 201518
6 201817
7 202015
8 201715
9 201914
10 202012
11 201312
12 202411
13 202111
14 202511
15 201611
16 201710
17 20229
18 20198
19 20238
20 20217

About Baolin Tang

Baolin Tang is a scholar working on Hematology, Oncology, Epidemiology, Immunology and Genetics, having authored 64 papers that have together received 398 indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (31 papers), Acute Myeloid Leukemia Research (18 papers), Cytomegalovirus and herpesvirus research (11 papers), Immune Cell Function and Interaction (10 papers), Polyomavirus and related diseases (9 papers), Acute Lymphoblastic Leukemia research (7 papers), Mesenchymal stem cell research (6 papers) and Neutropenia and Cancer Infections (5 papers). The work is most often cited by research in Hematology (241 citations), Genetics (61 citations), Oncology (89 citations), Transplantation (7 citations) and Public Health, Environmental and Occupational Health (67 citations). Baolin Tang has collaborated with scholars based in China and United States. Frequent co-authors include Zimin Sun, Xiaoyu Zhu, Huilan Liu, Changcheng Zheng, Liangquan Geng, Juan Tong, Guangyu Sun, Xuhan Zhang, Lei Zhang and Huan Chen. Their work appears in journals such as Blood, Transplantation and Cellular Therapy, Pediatric Transplantation, Annals of Hematology and Biology of Blood and Marrow Transplantation.

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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