P. D. Markham

1.8k citations
21 papers · 1.2k · h-index 15

Impact in

  • Virology top 1%
    • HIV Research and Treatment
  • Immunology top 5%
    • T-cell and Retrovirus Studies
    • Immune Cell Function and Interaction

Papers in

    • HIV Research and Treatment 11
    • T-cell and Retrovirus Studies 6
    • Immune Cell Function and Interaction 3

P. D. Markham

21 papers receiving 1.2k citations

Peers

P. D. Markham
Comparison fields: 5 of 80
  • Virology 412
  • Immunology 521
  • Agronomy and Crop Science 247
  • Infectious Diseases 215
  • Oncology 298
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Citations per field
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Citations per year

Countries citing papers authored by P. D. Markham

Since Specialization
Citations

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

Fields of papers citing papers by P. D. Markham

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1984162
2
Vascular endothelial growth factor and basic fibroblast growth factor present in Kaposi's sarcoma (KS) are induced by inflammatory cytokines and synergize to promote vascular permeability and KS lesion development.
1998146
3 1994142
4 1997112
5 1995110
6 1993106
7 199798
8 198855
9 199548
10 199446
11 199043
12 199543
13 198231
14 199728
15 197924
16 199514
17 198614
18 199313
19 19824
20
Restricted expression of retrovirus nucleic acids and proteins in primate type C virus (gibbon ape leukemia virus-simian sarcoma virus)-initiated human B-lymphoblast cultures.
19812

About P. D. Markham

P. D. Markham is a scholar working on Virology, Immunology, Epidemiology, Oncology and Agronomy and Crop Science, having authored 21 papers that have together received 1.2k indexed citations. Recurring topics across this work include HIV Research and Treatment (11 papers), T-cell and Retrovirus Studies (6 papers), Animal Disease Management and Epidemiology (5 papers), Vector-Borne Animal Diseases (4 papers), Viral-associated cancers and disorders (4 papers), Lymphoma Diagnosis and Treatment (3 papers), Herpesvirus Infections and Treatments (3 papers) and Immune Cell Function and Interaction (3 papers). The work is most often cited by research in Virology (412 citations), Immunology (521 citations), Agronomy and Crop Science (247 citations), Infectious Diseases (215 citations) and Oncology (298 citations). P. D. Markham has collaborated with scholars based in United States, Italy and Nigeria. Frequent co-authors include Robert C. Gallo, Felipe Samaniego, Barbara Ensoli, S. Zaki Salahuddin, R Gendelman, Rosella Gallo, Jake Fullen, Paolo Lusso, M Popovic and Hiromichi Hemmi. Their work appears in journals such as Journal of Virology, AIDS Research and Human Retroviruses, The Journal of Immunology, Virology and The Journal of Infectious Diseases.

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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