D Pham

1.0k citations
15 papers · 638 indexed · h-index 11

D Pham

15 papers receiving 609 citations

Peers

D Pham
Comparison fields: 5 of 48
  • Agronomy and Crop Science 238
  • Immunology 483
  • Ecology, Evolution, Behavior and Systematics 231
  • Genetics 72
  • Radiology, Nuclear Medicine and Imaging 132
Replace Kenneth G. Hadlock with:
Kenneth G. Hadlock United States
SM Baird United States
C D Rao United States
Lara J. Ausubel United States
Ingrid Müller‐Fleckenstein Germany
Christophe Debacq Belgium
Mitsutoshi Tara Japan
Motoi Maeda Japan
Mitsuaki Yoshida Japan
Sunao Atogami Japan
D Pham relative to Kenneth G. Hadlock United States Kenneth G. Hadlock's profile →
Citations per field
00.5×1.7×
Kenneth G. Hadlock · 1×
Citations per year

Countries citing papers authored by D Pham

Since Specialization
Citations

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

Fields of papers citing papers by D Pham

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

15 of 15 papers shown
#Work
1 20242
2 20224
3 200929
4 20086
5 200435
6 199727
7 199776
8
Functional comparison between HTLV-I envelopes originating from TSP/HAM or ATL cell lines.
19944
9 199418
10 199441
11 199332
12 199271
13 198842
14 198289
15 1980162

About D Pham

D Pham is a scholar working on Agronomy and Crop Science, Immunology, Ecology, Evolution, Behavior and Systematics, Modeling and Simulation and Cancer Research, having authored 15 papers that have together received 638 indexed citations. Recurring topics across this work include T-cell and Retrovirus Studies (8 papers), Vector-Borne Animal Diseases (8 papers), Animal Disease Management and Epidemiology (7 papers), T-cell and B-cell Immunology (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), Glycosylation and Glycoproteins Research (1 paper), Blood properties and coagulation (1 paper) and Influenza Virus Research Studies (1 paper). The work is most often cited by research in Agronomy and Crop Science (238 citations), Immunology (483 citations), Ecology, Evolution, Behavior and Systematics (231 citations), Genetics (72 citations) and Radiology, Nuclear Medicine and Imaging (132 citations). D Pham has collaborated with scholars based in France, United States and Japan. Frequent co-authors include Claudine Pique, B Raynal, Laurence Boumsell, Alain Bernard, Thomas Tursz, Lélia Delamarre, M C Dokhélar, Marie‐Christine Dokhélar, J Lemerle and Hélène Coppin. Their work appears in journals such as Journal of Virology, The Journal of Experimental Medicine, Human Mutation, The Journal of Immunology and Journal of Cell Science.

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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