C. Peterson

45 papers receiving 1.5k citations

Peers

C. Peterson
Comparison fields: 5 of 111
  • Hematology 183
  • Cancer Research 238
  • Oncology 363
  • Public Health, Environmental and Occupational Health 250
  • Dermatology 64
Replace Joseph E. Baggott with:
Joseph E. Baggott United States
Julie Beitz United States
W J Nooijen Netherlands
Duane A. Tewksbury United States
Isrid Sturm Germany
Jamie L. Renbarger United States
Paola Ferrari Italy
Yoshiro Kobayashi Japan
Masatomo Takahashi Japan
Shenghui Zhang China
C. Peterson relative to Joseph E. Baggott United States Joseph E. Baggott's profile →
Citations per field
00.5×2.7×
Joseph E. Baggott · 1×
Citations per year

Countries citing papers authored by C. Peterson

Since Specialization
Citations

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

Fields of papers citing papers by C. Peterson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1984148
2 1990117
3 201185
4 197881
5 199280
6 201579
7 201078
8 199975
9
Supression of telomerase activity in HL60 cells after treatment with differentiating agents.
199666
10 199663
11 199062
12 199252
13 198651
14 199045
15 199541
16 199132
17 199332
18 197032
19
Significance of the low-density lipoprotein (LDL) receptor pathway for the in vitro accumulation of AD-32 incorporated into LDL in normal and leukemic white blood cells.
198429
20 197923

About C. Peterson

C. Peterson is a scholar working on Oncology, Public Health, Environmental and Occupational Health, Hematology, Surgery and Immunology, having authored 45 papers that have together received 1.5k indexed citations. Recurring topics across this work include Acute Lymphoblastic Leukemia research (12 papers), Chronic Myeloid Leukemia Treatments (6 papers), Nausea and vomiting management (6 papers), Drug Transport and Resistance Mechanisms (6 papers), Cancer Treatment and Pharmacology (5 papers), Chemotherapy-induced cardiotoxicity and mitigation (4 papers), Cancer, Lipids, and Metabolism (4 papers) and Acute Myeloid Leukemia Research (4 papers). The work is most often cited by research in Hematology (183 citations), Cancer Research (238 citations), Oncology (363 citations), Public Health, Environmental and Occupational Health (250 citations) and Dermatology (64 citations). C. Peterson has collaborated with scholars based in Sweden, United States and Denmark. Frequent co-authors include Gösta Gahrton, Astrid Gruber, Sigurd Vitols, Åke Öst, Pavel Pisa, Dawei Xu, Michèle Masquelier, Magnus Björkholm, Gunnar Steineck and A. Trouet. Their work appears in journals such as British Journal of Cancer, Cancer Chemotherapy and Pharmacology, Nucleosides Nucleotides & Nucleic Acids, Acta Oncologica and European Journal of Clinical Pharmacology.

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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