Ren Lin

2.1k citations
80 papers · 1.0k · h-index 15

Impact in

  • Hematology top 2%
    • Hematopoietic Stem Cell Transplantation
    • Acute Myeloid Leukemia Research
  • Genetics top 5%
    • Mesenchymal stem cell research

Papers in

    • Hematopoietic Stem Cell Transplantation 20
    • Acute Myeloid Leukemia Research 10
    • Chronic Myeloid Leukemia Treatments 8
    • Cytomegalovirus and herpesvirus research 11

Ren Lin

68 papers receiving 1.0k citations

Peers

Ren Lin
Comparison fields: 5 of 89
  • Hematology 403
  • Genetics 150
  • Cancer Research 104
  • Oncology 176
  • Immunology 129
Replace Miharu Yabe with:
Miharu Yabe Japan
Evgenios Goussetis Greece
Nobuhiro Nishio Japan
Andrea Jarisch Germany
Dolores Planelles Spain
Daiichiro Hasegawa Japan
Jörn‐Sven Kühl Germany
Chiara Cugno Qatar
Mark Ranalli United States
José Luís Fuster Spain
Ren Lin relative to Miharu Yabe Japan Miharu Yabe's profile →
Citations per field
00.5×2×4×5.5×
Miharu Yabe · 1×
Citations per year

Countries citing papers authored by Ren Lin

Since Specialization
Citations

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

Fields of papers citing papers by Ren Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 80 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018202
2 201375
3 201973
4 200171
5 202159
6 201557
7 202255
8 201954
9 201843
10 202034
11 201628
12 201923
13 201418
14 202117
15 202015
16 202312
17 201712
18 202311
19 202011
20 201911

About Ren Lin

Ren Lin is a scholar working on Hematology, Epidemiology, Oncology, Public Health, Environmental and Occupational Health and Genetics, having authored 80 papers that have together received 1.0k indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (20 papers), Acute Lymphoblastic Leukemia research (13 papers), Cytomegalovirus and herpesvirus research (11 papers), Acute Myeloid Leukemia Research (10 papers), Chronic Myeloid Leukemia Treatments (8 papers), Mesenchymal stem cell research (6 papers), T-cell and Retrovirus Studies (3 papers) and Erythrocyte Function and Pathophysiology (3 papers). The work is most often cited by research in Hematology (403 citations), Genetics (150 citations), Cancer Research (104 citations), Oncology (176 citations) and Immunology (129 citations). Ren Lin has collaborated with scholars based in China, Taiwan and United States. Frequent co-authors include Qifa Liu, Fen Huang, Zhiping Fan, Li Xuan, Yu Wang, Jing Sun, Na Xu, Xiao‐Jun Huang, Ting Yang and Andy Peng Xiang. Their work appears in journals such as Blood, Bone Marrow Transplantation, Journal of Hematology & Oncology, Frontiers in Immunology and Transplantation and Cellular Therapy.

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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