C. Peterson

46 papers receiving 1.5k citations

Peers

C. Peterson
Comparison fields: 5 of 116
  • Cancer Research 302
  • Hematology 210
  • Oncology 426
  • Public Health, Environmental and Occupational Health 274
  • Pediatrics, Perinatology and Child Health 171
Replace Duane A. Tewksbury with:
Duane A. Tewksbury United States
M. R. Spitz United States
Paola Ferrari Italy
W J Nooijen Netherlands
Isrid Sturm Germany
Nadeem Moghal United Kingdom
Yona Kalechman Israel
Taher Nassar Israel
Carlo Rumi Italy
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C. Peterson relative to Duane A. Tewksbury United States Duane A. Tewksbury's profile →
Citations per field
00.5×2.6×
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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 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1984148
2 1990116
3 199394
4 201184
5 199281
6 197881
7 201078
8 201576
9 199975
10
Supression of telomerase activity in HL60 cells after treatment with differentiating agents.
199666
11 199062
12 199662
13 199252
14 198651
15 199045
16 199541
17 199132
18 199332
19 197032
20
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

About C. Peterson

C. Peterson is a scholar working on Oncology, Public Health, Environmental and Occupational Health, Hematology, Surgery and Immunology, having authored 46 papers that have together received 1.6k indexed citations. Recurring topics across this work include Acute Lymphoblastic Leukemia research (12 papers), Nausea and vomiting management (6 papers), Chronic Myeloid Leukemia Treatments (6 papers), Drug Transport and Resistance Mechanisms (6 papers), Cancer Treatment and Pharmacology (5 papers), Cancer, Lipids, and Metabolism (5 papers), Acute Myeloid Leukemia Research (5 papers) and Chemotherapy-induced cardiotoxicity and mitigation (4 papers). The work is most often cited by research in Cancer Research (302 citations), Hematology (210 citations), Oncology (426 citations), Public Health, Environmental and Occupational Health (274 citations) and Pediatrics, Perinatology and Child Health (171 citations). C. Peterson has collaborated with scholars based in Sweden, United States and Denmark. Frequent co-authors include Gösta Gahrton, Sigurd Vitols, Astrid Gruber, Åke Öst, Dawei Xu, Pavel Pisa, Michèle Masquelier, Magnus Björkholm, Gunnar Steineck and A. Trouet. Their work appears in journals such as British Journal of Cancer, Nucleosides Nucleotides & Nucleic Acids, Cancer Chemotherapy and Pharmacology, The Pharmacogenomics Journal and Acta Oncologica.

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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