Ruoping Tang
- Genetics top 2%
- Chronic Lymphocytic Leukemia Research 6
- Hematology top 5%
- Acute Myeloid Leukemia Research 12
- Multiple Myeloma Research and Treatments 4
- Oncology top 5%
- Drug Transport and Resistance Mechanisms 6
- Peptidase Inhibition and Analysis 4
- Chemokine receptors and signaling 4
- Immunology top 5%
- Immunotherapy and Immune Responses 5
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- Ubiquitin and proteasome pathways 4
- Co-authors
- Ollivier LegrandFlorence Ajchenbaum‐CymbalistaJean‐Pierre MarieR ZittounAlain DelmerChristophe MarzacChristian BillardRadovan Vrḫovac
- Cited by
- GeneticsHematologyOncology
- Journals
- Blood (7 papers)Journal of Cellular Biochemistry (2 papers)British Journal of Haematology (2 papers)
- Partner nations
- FranceUnited StatesChina
In The Last Decade
Ruoping Tang
39 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 89
- Genetics 386
- Hematology 340
- Oncology 729
- Immunology 436
- Pathology and Forensic Medicine 234
Countries citing papers authored by Ruoping Tang
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
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-authorship network
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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 38 | |
| 2 | 2017 | 0 | |
| 3 | 2017 | 38 | |
| 4 | 2017 | 32 | |
| 5 | 2017 | 31 | |
| 6 | 2015 | 2 | |
| 7 | 2014 | 11 | |
| 8 | 2013 | 16 | |
| 9 | 2011 | 49 | |
| 10 | 2009 | 43 | |
| 11 | 2008 | 52 | |
| 12 | 2006 | 43 | |
| 13 | 2003 | 4 | |
| 14 | 2000 | 43 | |
| 15 | 1998 | 124 | |
| 16 | 1996 | 52 | |
| 17 | 1995 | 29 | |
| 18 | 1993 | 31 | |
| 19 | 1992 | 86 | |
| 20 | 1990 | 57 |
About Ruoping Tang
Ruoping Tang is a scholar working on Hematology, Genetics, Oncology, Toxicology and Internal Medicine, 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), Peptidase Inhibition and Analysis (4 papers), Ubiquitin and proteasome pathways (4 papers) and Chemokine receptors and signaling (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, Christophe Marzac, Christian Billard, Radovan Vrḫovac, 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.