Hank La

2.3k citations
23 papers · 792 · h-index 14

Impact in

Papers in

    • Cancer therapeutics and mechanisms 4
    • Retinoids in leukemia and cellular processes 3
    • Protein Kinase Regulation and GTPase Signaling 3
    • Hedgehog Signaling Pathway Studies 2
    • Drug Transport and Resistance Mechanisms 5

Hank La

23 papers receiving 753 citations

Peers

Hank La
Comparison fields: 5 of 102
  • Oncology 221
  • Pharmaceutical Science 47
  • Molecular Biology 428
  • Modeling and Simulation 28
  • Pharmacology 44
Replace Hans Peter Grimm with:
Hans Peter Grimm Switzerland
J A Slack United Kingdom
Tracey Clark United States
Mark A. Ashwell United Kingdom
Brinton Seashore‐Ludlow Sweden
Emile G. Plise United States
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Hank La relative to Hans Peter Grimm Switzerland Hans Peter Grimm's profile →
Citations per field
00.5×5.1×
Hans Peter Grimm · 1×
Citations per year

Countries citing papers authored by Hank La

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Hank La Line = papers co-authored together Hank La links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201196
2 201296
3 201393
4 201268
5 201558
6 201847
7 201546
8 201342
9 201539
10 201439
11 201529
12 201328
13 201017
14 201315
15 201913
16 201612
17 201912
18 201510
19 201510
20 20169

About Hank La

Hank La is a scholar working on Molecular Biology, Oncology, Immunology, Pharmacology and Cell Biology, having authored 23 papers that have together received 792 indexed citations. Recurring topics across this work include Drug Transport and Resistance Mechanisms (5 papers), Cancer therapeutics and mechanisms (4 papers), Analytical Chemistry and Chromatography (3 papers), Retinoids in leukemia and cellular processes (3 papers), Protein Kinase Regulation and GTPase Signaling (3 papers), Psoriasis: Treatment and Pathogenesis (3 papers), Hedgehog Signaling Pathway Studies (2 papers) and Pharmacogenetics and Drug Metabolism (2 papers). The work is most often cited by research in Oncology (221 citations), Pharmaceutical Science (47 citations), Molecular Biology (428 citations), Modeling and Simulation (28 citations) and Pharmacology (44 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, Robert L. Yauch, Yuzhong Deng, Cornelis E. C. A. Hop, Kristina West, Tom Januario and Frédéric J. de Sauvage. Their work appears in journals such as Bioorganic & Medicinal Chemistry Letters, Clinical Cancer Research, Journal of Medicinal Chemistry, Drug Metabolism and Disposition and Journal of Pharmaceutical Sciences.

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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