Kim Edmonds

1.7k citations
16 papers · 560 · h-index 9

Impact in

  • Oncology top 10%
    • Cancer Immunotherapy and Biomarkers
    • Cutaneous Melanoma Detection and Management
    • Colorectal Cancer Treatments and Studies
    • CAR-T cell therapy research
    • Immune cells in cancer
    • Immunotherapy and Immune Responses

Papers in

    • Cutaneous Melanoma Detection and Management 5
    • Cancer Immunotherapy and Biomarkers 5
    • CAR-T cell therapy research 2
    • Melanoma and MAPK Pathways 5
    • Renal and related cancers 3

Kim Edmonds

15 papers receiving 548 citations

Peers

Kim Edmonds
Comparison fields: 5 of 80
  • Oncology 317
  • Immunology 120
  • Cancer Research 75
  • Molecular Biology 222
  • Dermatology 26
Replace Raewyn Poole with:
Raewyn Poole Germany
Darrell Nix United States
M. Ravic United Kingdom
Lee K. Tay United States
Motohiro Yamamori Japan
Min Du United States
Yi Ling Teo Singapore
L Rausa Italy
Tamer E. Fandy United States
Yaming Li China
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Citations per field
00.5×1.5×
Raewyn Poole · 1×
Citations per year

Countries citing papers authored by Kim Edmonds

Since Specialization
Citations

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

Fields of papers citing papers by Kim Edmonds

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 2007195
2 1994106
3 201283
4 201952
5 201134
6 201033
7 201319
8 202212
9 202110
10 20158
11 20103
12 20172
13 20121
14 20121
15 20111
16
CAPTURE: Cancer and COVID-19 antiviral immune monitoring study
20200

About Kim Edmonds

Kim Edmonds is a scholar working on Oncology, Molecular Biology, Pulmonary and Respiratory Medicine, Nephrology and Infectious Diseases, having authored 16 papers that have together received 560 indexed citations. Recurring topics across this work include Cutaneous Melanoma Detection and Management (5 papers), Melanoma and MAPK Pathways (5 papers), Renal cell carcinoma treatment (5 papers), Cancer Immunotherapy and Biomarkers (5 papers), Renal Diseases and Glomerulopathies (3 papers), Renal and related cancers (3 papers), Economic and Financial Impacts of Cancer (2 papers) and CAR-T cell therapy research (2 papers). The work is most often cited by research in Oncology (317 citations), Immunology (120 citations), Cancer Research (75 citations), Molecular Biology (222 citations) and Dermatology (26 citations). Kim Edmonds has collaborated with scholars based in United Kingdom, Netherlands and Spain. Frequent co-authors include Martin Gore, James Larkin, Julia Newton‐Bishop, Louise Fearfield, R. K. Sinha, Eleni Timotheadou, Kellie A. Charles, Roger A’Hern, Ningfeng Fiona Li and Michelle Harrison. Their work appears in journals such as Journal of Clinical Oncology, Annals of Oncology, Clinical Cancer Research, British Journal of Cancer and Melanoma Research.

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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