Peter C. Charles

2.0k citations
31 papers · 1.6k · h-index 23

Impact in

Papers in

Peter C. Charles

30 papers receiving 1.6k citations

Peers

Peter C. Charles
Comparison fields: 5 of 94
  • Hematology 289
  • Infectious Diseases 315
  • Parasitology 101
  • Immunology 271
  • Public Health, Environmental and Occupational Health 370
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Narsing A. Rao United States
Bernhard Greve Germany
Gaëlle Le Friec United Kingdom
Robert Kastelein United States
Henry B. Warren United States
Qian‐Chun Yu United States
Y. Iwasaki Japan
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Citations per year

Countries citing papers authored by Peter C. Charles

Since Specialization
Citations

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

Fields of papers citing papers by Peter C. Charles

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Peter C. Charles. 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 Peter C. Charles. The network helps show where Peter C. Charles may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999160
2
Factors affecting blood stem cell collections following high-dose cyclophosphamide mobilization in lymphoma, myeloma and solid tumors.
1992149
3 1995136
4 1995107
5 199296
6 200987
7 200787
8 199964
9
Single high doses of cyclophosphamide enable the collection of high numbers of hemopoietic stem cells from the peripheral blood.
199063
10 200662
11 200660
12 199858
13 199955
14 200152
15 200648
16 199745
17 200742
18 199437
19 199836
20 198836

About Peter C. Charles

Peter C. Charles is a scholar working on Molecular Biology, Public Health, Environmental and Occupational Health, Oncology, Cardiology and Cardiovascular Medicine and Hematology, having authored 31 papers that have together received 1.6k indexed citations. Recurring topics across this work include Mosquito-borne diseases and control (7 papers), Angiogenesis and VEGF in Cancer (6 papers), Vector-borne infectious diseases (3 papers), Viral Infections and Vectors (3 papers), Epigenetics and DNA Methylation (3 papers), Hematopoietic Stem Cell Transplantation (3 papers), Cytokine Signaling Pathways and Interactions (2 papers) and Virus-based gene therapy research (2 papers). The work is most often cited by research in Hematology (289 citations), Infectious Diseases (315 citations), Parasitology (101 citations), Immunology (271 citations) and Public Health, Environmental and Occupational Health (370 citations). Peter C. Charles has collaborated with scholars based in United States, Australia and Brazil. Frequent co-authors include Celia F. Brosnan, Cam Patterson, Robert E. Johnston, Nancy Davis, Frank L. Margolis, Eric Walters, Yaxu Wu, Robert Sage, John Norman and K. Shepherd. Their work appears in journals such as Virology, Circulation Research, Journal of Neuroimmunology, BMC Medical Genomics and Stem Cells.

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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