Rong Fu

5.3k citations
391 papers · 3.6k · h-index 29

Impact in

  • Hematology top 1%
    • Hematopoietic Stem Cell Transplantation
    • Acute Myeloid Leukemia Research
    • Multiple Myeloma Research and Treatments
  • Immunology top 2%
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Immunotherapy and Immune Responses
    • Immune cells in cancer

Papers in

    • Hematopoietic Stem Cell Transplantation 48
    • Multiple Myeloma Research and Treatments 41
    • Acute Myeloid Leukemia Research 39
    • Blood groups and transfusion 29
    • Immune Cell Function and Interaction 65
    • Immunotherapy and Immune Responses 28
    • Complement system in diseases 26
    • Immune cells in cancer 21

Rong Fu

351 papers receiving 3.5k citations

Peers

Rong Fu
Comparison fields: 5 of 177
  • Hematology 862
  • Immunology 1.1k
  • Genetics 240
  • Cancer Research 322
  • Oncology 545
Replace Xiaonan Wang with:
Xiaonan Wang China
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Xian Zhang China
Yihan Wang China
Ying Zhou China
Antonella Russo Italy
Françis Belloc France
Hamed Mohammadi Iran
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Rong Fu relative to Xiaonan Wang China Xiaonan Wang's profile →
Citations per field
00.5×1.5×1.8×
Xiaonan Wang · 1×
Citations per year

Countries citing papers authored by Rong Fu

Since Specialization
Citations

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

Fields of papers citing papers by Rong Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 391 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2022128
2 201392
3 201070
4 201968
5 201767
6 202264
7 201953
8 201752
9 202350
10 202049
11
miR-21 expression predicts prognosis in diffuse large B-cell lymphoma.
201547
12 201047
13 201446
14 202344
15 202343
16 202241
17 202440
18 201840
19 202039
20 201338

About Rong Fu

Rong Fu is a scholar working on Hematology, Immunology, Molecular Biology, Oncology and Genetics, having authored 391 papers that have together received 3.6k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (65 papers), Hematopoietic Stem Cell Transplantation (48 papers), Multiple Myeloma Research and Treatments (41 papers), Acute Myeloid Leukemia Research (39 papers), Blood groups and transfusion (29 papers), Immunotherapy and Immune Responses (28 papers), Complement system in diseases (26 papers) and Immune cells in cancer (21 papers). The work is most often cited by research in Hematology (862 citations), Immunology (1.1k citations), Genetics (240 citations), Cancer Research (322 citations) and Oncology (545 citations). Rong Fu has collaborated with scholars based in China, United States and Iran. Frequent co-authors include Huaquan Wang, Zhaoyun Liu, Zonghong Shao, Jia Song, Chunyan Liu, Limin Xing, Hui Liu, Yuhong Wu, Kai Ding and Guojin Wang. Their work appears in journals such as Blood, Journal of Clinical Laboratory Analysis, International Journal of Hematology, Medicine and Cellular Immunology.

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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