Ruoping Tang

2.4k citations
40 papers · 1.7k · h-index 24

Impact in

  • Genetics top 2%
    • Chronic Lymphocytic Leukemia Research
  • Hematology top 5%
    • Acute Myeloid Leukemia Research

Papers in

    • Drug Transport and Resistance Mechanisms 6
    • Chemokine receptors and signaling 4
    • Peptidase Inhibition and Analysis 4
    • Acute Myeloid Leukemia Research 12
    • Multiple Myeloma Research and Treatments 4
    • Chronic Myeloid Leukemia Treatments 4

Ruoping Tang

39 papers receiving 1.7k citations

Peers

Ruoping Tang
Comparison fields: 5 of 89
  • Genetics 386
  • Hematology 340
  • Oncology 729
  • Immunology 436
  • Pathology and Forensic Medicine 234
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Citations per field
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Citations per year

Countries citing papers authored by Ruoping Tang

Since Specialization
Citations

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

Fields of papers citing papers by Ruoping Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003250
2 2005125
3 1998124
4 2006121
5 1998107
6 199286
7 201181
8 199057
9 199652
10 200852
11 201152
12 201149
13 201145
14 200943
15 200043
16 200643
17 201738
18 202138
19 200935
20 201732

About Ruoping Tang

Ruoping Tang is a scholar working on Oncology, Hematology, Molecular Biology, Genetics and Immunology, having authored 40 papers that have together received 1.7k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (12 papers), Chronic Lymphocytic Leukemia Research (6 papers), Drug Transport and Resistance Mechanisms (6 papers), Immunotherapy and Immune Responses (5 papers), Multiple Myeloma Research and Treatments (4 papers), Chemokine receptors and signaling (4 papers), Peptidase Inhibition and Analysis (4 papers) and Chronic Myeloid Leukemia Treatments (4 papers). The work is most often cited by research in Genetics (386 citations), Hematology (340 citations), Oncology (729 citations), Immunology (436 citations) and Pathology and Forensic Medicine (234 citations). Ruoping Tang has collaborated with scholars based in France, United States and China. Frequent co-authors include Ollivier Legrand, Florence Ajchenbaum‐Cymbalista, Jean‐Pierre Marie, R Zittoun, Alain Delmer, Radovan Vrḫovac, Christophe Marzac, Christian Billard, Anne‐Marie Faussat and Jean‐Yves Perrot. Their work appears in journals such as Blood, Journal of Cellular Biochemistry, British Journal of Haematology, Clinical Cancer Research and BMC Cancer.

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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