J. Whang‐Peng
- Molecular Biology top 10%
- Oncology top 5%
- Hematology top 2%
- Genetics top 5%
- Cancer Research top 5%
- Co-authors
- C. S. Kao-ShanAdi F. GazdarJohn D. MinnaPaul A. BunnD. N. CarneyTor KnutsenMerrill E. GoldsmithKenneth H. Cowan
- Topics
- Acute Myeloid Leukemia Research (15 papers)DNA Repair Mechanisms (7 papers)Acute Lymphoblastic Leukemia research (7 papers)
- Cited by
- HematologyOncologyCancer Research
- Partner nations
- United StatesUnited KingdomIndia
In The Last Decade
J. Whang‐Peng
45 papers receiving 2.1k citations
Hit Papers
Peers
Comparison fields: 5 of 91
- Molecular Biology 1.1k
- Oncology 867
- Hematology 456
- Genetics 375
- Cancer Research 327
Countries citing papers authored by J. Whang‐Peng
This map shows the geographic impact of J. Whang‐Peng'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 J. Whang‐Peng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J. Whang‐Peng more than expected).
Fields of papers citing papers by J. Whang‐Peng
This network shows the impact of papers produced by J. Whang‐Peng. 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 J. Whang‐Peng. The network helps show where J. Whang‐Peng may publish in the future.
Co-authorship network of co-authors of J. Whang‐Peng
This figure shows the co-authorship network connecting the top 25 collaborators of J. Whang‐Peng. A scholar is included among the top collaborators of J. Whang‐Peng based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with J. Whang‐Peng. J. Whang‐Peng is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 32 | |
| 2 | Molecular genetic characterization of neuroendocrine lung cancer cell lines. | 41 |
| 3 | 34 | |
| 4 | 90 | |
| 5 | 126 | |
| 6 | 19 | |
| 7 | 48 | |
| 8 | 10 | |
| 9 | 1 | |
| 10 | Ring chromosome in a case of acute myelomonocytic leukemia: its significance and a review of the literature. | 7 |
| 11 | 38 | |
| 12 | 46 | |
| 13 | 9 | |
| 14 | Cytogenetic abnormalities in patients with cutaneous T-cell lymphomas. | 39 |
| 15 | 9 | |
| 16 | Cytogenetic studies in L2C leukemia. | 0 |
| 17 | 15 | |
| 18 | Preparation of mononuclear cell subpopulations from normal human peripheral blood. | 12 |
| 19 | 5 | |
| 20 | 36 |
About J. Whang‐Peng
J. Whang‐Peng is a scholar working on Hematology, Genetics and Oncology, having authored 46 papers that have together received 2.2k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (15 papers), DNA Repair Mechanisms (7 papers) and Acute Lymphoblastic Leukemia research (7 papers). The work is most often cited by research in Hematology (456 citations), Oncology (867 citations) and Cancer Research (327 citations). J. Whang‐Peng has collaborated with scholars based in United States, United Kingdom and India. Frequent co-authors include C. S. Kao-Shan, Adi F. Gazdar, John D. Minna, Paul A. Bunn, D. N. Carney, Tor Knutsen, Merrill E. Goldsmith, Kenneth H. Cowan, Ira Pastan and Antonio Tito Fojo. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and The Lancet.
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.