David La

1.0k citations
33 papers · 780 · h-index 16

Impact in

Papers in

David La

32 papers receiving 737 citations

Peers

David La
Comparison fields: 5 of 101
  • Cancer Research 263
  • Health, Toxicology and Mutagenesis 165
  • Toxicology 34
  • Immunology 118
  • Molecular Biology 317
Replace Elodie Jouan with:
Elodie Jouan France
Yen‐Ni Teng Taiwan
Scot Eustis United States
Valerie Odero‐Marah United States
Xiangbin Zeng United States
Kandace J. Williams United States
Rongxian Jin Singapore
Y. Barra France
Amelie Carla Moreau France
Huixiang Li China
David La relative to Elodie Jouan France Elodie Jouan's profile →
Citations per field
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Citations per year

Countries citing papers authored by David La

Since Specialization
Citations

This map shows the geographic impact of David 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 David La with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David La more than expected).

Fields of papers citing papers by David La

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David 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 David La. The network helps show where David La may publish in the future.

Co-authors

The 25 scholars most cited alongside David 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 David La Line = papers co-authored together David La links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1996116
2 200096
3 201453
4 199553
5 200142
6 201741
7 201536
8 200034
9 200234
10 201131
11 201329
12 200125
13 201219
14 201417
15 199317
16
Relationship of rabbit ATG serum clearance rate to circulating T-cell level, rejection onset, and survival in cardiac transplantation.
197716
17 201813
18 199213
19 199612
20 201311

About David La

David La is a scholar working on Cancer Research, Health, Toxicology and Mutagenesis, Oncology, Molecular Biology and Toxicology, having authored 33 papers that have together received 780 indexed citations. Recurring topics across this work include Carcinogens and Genotoxicity Assessment (13 papers), DNA Repair Mechanisms (6 papers), Mast cells and histamine (3 papers), HIV/AIDS drug development and treatment (3 papers), Effects and risks of endocrine disrupting chemicals (3 papers), Pesticide Exposure and Toxicity (3 papers), Drug Transport and Resistance Mechanisms (3 papers) and Estrogen and related hormone effects (2 papers). The work is most often cited by research in Cancer Research (263 citations), Health, Toxicology and Mutagenesis (165 citations), Toxicology (34 citations), Immunology (118 citations) and Molecular Biology (317 citations). David La has collaborated with scholars based in United States, Belgium and Canada. Frequent co-authors include James A. Swenberg, Jun Nakamura, Patricia B. Upton, John R. Froines, Po-Hsiung Lin, Paul J. Dunford, Kuen‐Yuh Wu, Robin L. Thurmond, Sandra S. Snook and Brad M. Savall. Their work appears in journals such as Carcinogenesis, Archives of Toxicology, Toxicology and Applied Pharmacology, Chemical Research in Toxicology and Retrovirology.

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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