Guy Makin

50 papers receiving 1.9k citations

Peers

Guy Makin
Comparison fields: 5 of 95
  • Neurology 209
  • Pathology and Forensic Medicine 240
  • Cancer Research 179
  • Oncology 287
  • Drug Discovery 3
Replace Claudia Friesen with:
Claudia Friesen Germany
Federica Chiara Italy
Cynthia Marie Simbulan-Rosenthal United States
Rhoda Z. Arzoomanian United States
Federica Saletta Australia
Vassiliki Karantza‐Wadsworth United States
Biyin Cao China
Suparna Mazumder United States
Leonie Jestaedt Germany
Ran Zhao China
Guy Makin relative to Claudia Friesen Germany Claudia Friesen's profile →
Citations per field
00.5×2×3.3×
Claudia Friesen · 1×
Citations per year

Countries citing papers authored by Guy Makin

Since Specialization
Citations

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

Fields of papers citing papers by Guy Makin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1989222
2 2001211
3 2000197
4 2001126
5 200178
6 201676
7 201273
8 199972
9 200670
10 201366
11 201758
12 201751
13 201148
14 201444
15 200143
16 200239
17 200936
18 200331
19 201931
20 201229

About Guy Makin

Guy Makin is a scholar working on Neurology, Pediatrics, Perinatology and Child Health, Oncology, Molecular Biology and Cancer Research, having authored 52 papers that have together received 1.9k indexed citations. Recurring topics across this work include Cell death mechanisms and regulation (12 papers), Neuroblastoma Research and Treatments (8 papers), Pharmaceutical studies and practices (4 papers), Acute Lymphoblastic Leukemia research (3 papers), Cancer, Hypoxia, and Metabolism (3 papers), Cancer therapeutics and mechanisms (2 papers), Sarcoma Diagnosis and Treatment (2 papers) and Childhood Cancer Survivors' Quality of Life (2 papers). The work is most often cited by research in Neurology (209 citations), Pathology and Forensic Medicine (240 citations), Cancer Research (179 citations), Oncology (287 citations) and Drug Discovery (3 citations). Guy Makin has collaborated with scholars based in United Kingdom, United States and France. Frequent co-authors include Caroline Dive, John Angus Hickman, David Lohnes, Rahul Ray, Glenville Jones, Valarie Byford, Muhammad Hamid Zaman, Bernard Michael Corfe, Angela Thistlethwaite and Deema M. Hussein. Their work appears in journals such as British Journal of Cancer, Clinical Cancer Research, Molecular Cancer Therapeutics, European Journal of Cancer and Archives of Disease in Childhood.

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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