Zhenya Tang
Impact in
- Hematology top 2%
- Acute Myeloid Leukemia Research
- Chronic Myeloid Leukemia Treatments
- Genetics top 5%
- Myeloproliferative Neoplasms: Diagnosis and Treatment
- Chronic Lymphocytic Leukemia Research
Papers in
- Hematology 48
- Acute Myeloid Leukemia Research 41
- Chronic Myeloid Leukemia Treatments 19
- Genetics 39
- Chronic Lymphocytic Leukemia Research 27
- Myeloproliferative Neoplasms: Diagnosis and Treatment 12
- Co-authors
- L. Jeffrey MedeirosGuilin TangSa A. WangShimin HuShaoying LiWei WangJoseph D. KhouryC. Cameron Yin
- Journals
- Cancers (9 papers)Leukemia Research (8 papers)Modern Pathology (7 papers)Genes (5 papers)American Journal of Hematology (5 papers)
- Partner nations
- United StatesChinaThailand
In The Last Decade
Zhenya Tang
102 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 70
- Hematology 456
- Genetics 332
- Dermatology 148
- Pathology and Forensic Medicine 280
- Oncology 335
Countries citing papers authored by Zhenya Tang
This map shows the geographic impact of Zhenya 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 Zhenya Tang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zhenya Tang more than expected).
Fields of papers citing papers by Zhenya Tang
This network shows the impact of papers produced by Zhenya 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 Zhenya Tang. The network helps show where Zhenya Tang may publish in the future.
Co-authors
The 25 scholars most cited alongside Zhenya 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 | 2025 | 0 | |
| 2 | 2025 | 6 | |
| 3 | 2024 | 1 | |
| 4 | 2023 | 8 | |
| 5 | 2023 | 3 | |
| 6 | 2023 | 7 | |
| 7 | 2023 | 2 | |
| 8 | 2023 | 3 | |
| 9 | 2022 | 0 | |
| 10 | 2022 | 18 | |
| 11 | 2022 | 2 | |
| 12 | 2022 | 61 | |
| 13 | 2022 | 4 | |
| 14 | 2022 | 0 | |
| 15 | 2022 | 2 | |
| 16 | 2020 | 15 | |
| 17 | 2019 | 71 | |
| 18 | 2016 | 8 | |
| 19 | 2016 | 4 | |
| 20 | 2002 | 6 |
About Zhenya Tang
Zhenya Tang is a scholar working on Hematology, Genetics, Pathology and Forensic Medicine, Cancer Research and Dermatology, having authored 111 papers that have together received 1.2k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (41 papers), Lymphoma Diagnosis and Treatment (29 papers), Chronic Lymphocytic Leukemia Research (27 papers), Cancer Genomics and Diagnostics (19 papers), Chronic Myeloid Leukemia Treatments (19 papers), Lung Cancer Treatments and Mutations (13 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (12 papers) and Cutaneous lymphoproliferative disorders research (10 papers). The work is most often cited by research in Hematology (456 citations), Genetics (332 citations), Dermatology (148 citations), Pathology and Forensic Medicine (280 citations) and Oncology (335 citations). Zhenya Tang has collaborated with scholars based in United States, China and Thailand. Frequent co-authors include L. Jeffrey Medeiros, Guilin Tang, Sa A. Wang, Shimin Hu, Shaoying Li, Wei Wang, Joseph D. Khoury, C. Cameron Yin, Gökçe Törüner and Carlos E. Bueso‐Ramos. Their work appears in journals such as Cancers, Leukemia Research, Modern Pathology, Genes and American Journal of Hematology.
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.