Baolin Tang

674 citations
63 papers · 369 · 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 43
    • Acute Myeloid Leukemia Research 18
    • Polyomavirus and related diseases 12
    • Neutropenia and Cancer Infections 5

Baolin Tang

55 papers receiving 366 citations

Peers

Baolin Tang
Comparison fields: 5 of 66
  • Hematology 257
  • Genetics 76
  • Transplantation 11
  • Oncology 111
  • Immunology 58
Replace Ryoko Yamasaki with:
Ryoko Yamasaki Japan
Liangquan Geng China
Qiaoling Ma China
Revathi Raj India
Ramya Uppuluri India
Marie Balsat France
Irene García‐Cadenas Spain
Fahad Almohareb Saudi Arabia
Yuewen Fu China
Valkal Bhatt United States
Baolin Tang relative to Ryoko Yamasaki Japan Ryoko Yamasaki's profile →
Citations per field
00.5×1.5×2.3×
Ryoko Yamasaki · 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 63 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201639
2 202137
3 201422
4 201319
5 201518
6 201817
7 201715
8 202015
9 201914
10 201312
11 202111
12 202011
13 201710
14 201610
15 20248
16 20197
17 20257
18 20237
19 20177
20 20216

About Baolin Tang

Baolin Tang is a scholar working on Hematology, Oncology, Epidemiology, Immunology and Genetics, having authored 63 papers that have together received 369 indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (43 papers), Acute Myeloid Leukemia Research (18 papers), Immune Cell Function and Interaction (14 papers), Cytomegalovirus and herpesvirus research (13 papers), Polyomavirus and related diseases (12 papers), Mesenchymal stem cell research (10 papers), Acute Lymphoblastic Leukemia research (9 papers) and Neutropenia and Cancer Infections (5 papers). The work is most often cited by research in Hematology (257 citations), Genetics (76 citations), Transplantation (11 citations), Oncology (111 citations) and Immunology (58 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, Xuhan Zhang, Guangyu Sun, Lei Zhang and Xiao‐Dong Mo. Their work appears in journals such as Blood, Annals of Hematology, Pediatric Transplantation, Transplantation and Cellular Therapy 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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