Jamie Arnott

526 citations
21 papers · 464 · h-index 8

Impact in

Papers in

    • Cancer Treatment and Pharmacology 6
    • Cancer Immunotherapy and Biomarkers 2
    • Advanced Breast Cancer Therapies 3
    • Prostate Cancer Treatment and Research 2
    • Lung Cancer Treatments and Mutations 2

Jamie Arnott

21 papers receiving 451 citations

Peers

Jamie Arnott
Comparison fields: 5 of 64
  • Cell Biology 109
  • Cancer Research 76
  • Toxicology 17
  • Oncology 117
  • Pharmaceutical Science 21
Replace N. V. Krakhmal with:
N. V. Krakhmal Russia
Iwao Ohizumi Japan
Ann Palladino United States
Vishal Pendharkar Singapore
Monika McClellan Germany
Sanghyun Lee South Korea
Csaba László United States
Nayoung Jun South Korea
Eun‐Kyoung Breuer United States
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Citations per field
00.5×2×4×5.3×
N. V. Krakhmal · 1×
Citations per year

Countries citing papers authored by Jamie Arnott

Since Specialization
Citations

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

Fields of papers citing papers by Jamie Arnott

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Jamie Arnott, 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 Jamie Arnott Line = papers co-authored together Jamie Arnott 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 2009110
2 201098
3 201077
4 201060
5 201242
6 201627
7 201113
8 20097
9 20116
10
The effect of heat on the healing of fractures: a preliminary experimental report.
19675
11 20104
12 20083
13 20072
14 20092
15 20092
16 20071
17 20241
18 20231
19
Phase II open-label, safety, pharmacokinetic and efficacy study of Panzem® NCD administered orally to patients with ovarian cancer
20071
20 20101

About Jamie Arnott

Jamie Arnott is a scholar working on Oncology, Pulmonary and Respiratory Medicine, Cell Biology, Cancer Research and Hematology, having authored 21 papers that have together received 464 indexed citations. Recurring topics across this work include Microtubule and mitosis dynamics (6 papers), Cancer Treatment and Pharmacology (6 papers), Cancer, Lipids, and Metabolism (4 papers), Acute Myeloid Leukemia Research (3 papers), Advanced Breast Cancer Therapies (3 papers), Prostate Cancer Treatment and Research (2 papers), Cancer Immunotherapy and Biomarkers (2 papers) and Lung Cancer Treatments and Mutations (2 papers). The work is most often cited by research in Cell Biology (109 citations), Cancer Research (76 citations), Toxicology (17 citations), Oncology (117 citations) and Pharmaceutical Science (21 citations). Jamie Arnott has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Carolyn Sidor, Glenn Liu, George Wilding, Роберто Пили, Amyé Tevaarwerk, Dona Alberti, Kyle D. Holen, Check Y. Quon, Jens C. Eickhoff and Anthony M. Treston. Their work appears in journals such as Journal of Clinical Oncology, Investigational New Drugs, Clinical Cancer Research, Molecular Cancer Therapeutics and Blood.

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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