Hank La
Impact in
- Hematology top 10%
- Hematopoietic Stem Cell Transplantation
- Oncology top 10%
Papers in
-
- Protein Kinase Regulation and GTPase Signaling 4
- Retinoids in leukemia and cellular processes 3
- Cancer therapeutics and mechanisms 3
- Pluripotent Stem Cells Research 2
- Oncology 8
- Drug Transport and Resistance Mechanisms 4
- Co-authors
- Harvey Wong (14 shared papers)Stephen E. Gould (4 shared papers)Bruno Alicke (4 shared papers)Xiao Ding (3 shared papers)Belinda Cairns (2 shared papers)Osamu Ohneda (3 shared papers)Zhong Zheng (2 shared papers)C Fennie (3 shared papers)
- Journals
- Bioorganic & Medicinal Chemistry Letters (6 papers)Clinical Cancer Research (2 papers)Drug Metabolism and Disposition (2 papers)Blood (2 papers)Journal of Medicinal Chemistry (2 papers)
- Partner nations
- United StatesFranceChina
In The Last Decade
Hank La
27 papers receiving 919 citations
Peers
Comparison fields: 5 of 108
- Hematology 96
- Oncology 215
- Pharmaceutical Science 47
- Molecular Biology 474
- Genetics 63
Countries citing papers authored by Hank La
This map shows the geographic impact of Hank La'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 Hank La with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hank La more than expected).
Fields of papers citing papers by Hank La
This network shows the impact of papers produced by Hank La. 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 Hank La. The network helps show where Hank La may publish in the future.
Co-authors
The 25 scholars most cited alongside Hank La, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1998 | 120 | |
| 2 | 2012 | 103 | |
| 3 | 2013 | 102 | |
| 4 | 2011 | 100 | |
| 5 | 2012 | 70 | |
| 6 | 2015 | 59 | |
| 7 | 2018 | 50 | |
| 8 | 2015 | 47 | |
| 9 | 2013 | 44 | |
| 10 | 2015 | 41 | |
| 11 | 2014 | 39 | |
| 12 | 2015 | 30 | |
| 13 | 2013 | 28 | |
| 14 | 2010 | 19 | |
| 15 | 2013 | 16 | |
| 16 | 2019 | 13 | |
| 17 | 2019 | 13 | |
| 18 | 2016 | 12 | |
| 19 | 2015 | 11 | |
| 20 | 2016 | 10 |
About Hank La
Hank La is a scholar working on Molecular Biology, Oncology, Cell Biology, Immunology and Pharmacology, having authored 27 papers that have together received 962 indexed citations. Recurring topics across this work include Drug Transport and Resistance Mechanisms (4 papers), Protein Kinase Regulation and GTPase Signaling (4 papers), Retinoids in leukemia and cellular processes (3 papers), Hematopoietic Stem Cell Transplantation (3 papers), Cancer therapeutics and mechanisms (3 papers), Psoriasis: Treatment and Pathogenesis (3 papers), Analytical Chemistry and Chromatography (3 papers) and Pluripotent Stem Cells Research (2 papers). The work is most often cited by research in Hematology (96 citations), Oncology (215 citations), Pharmaceutical Science (47 citations), Molecular Biology (474 citations) and Genetics (63 citations). Hank La has collaborated with scholars based in United States, France and China. Frequent co-authors include Harvey Wong, Stephen E. Gould, Bruno Alicke, Xiao Ding, Belinda Cairns, Osamu Ohneda, Zhong Zheng, C Fennie, Robert L. Yauch and Christopher J. Donahue. Their work appears in journals such as Bioorganic & Medicinal Chemistry Letters, Clinical Cancer Research, Drug Metabolism and Disposition, Blood and Journal of Medicinal Chemistry.
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.