Robert Watson

2.5k citations
41 papers · 1.2k indexed · h-index 18

Impact in

  • Oncology top 10%
    • Cancer Immunotherapy and Biomarkers
    • CAR-T cell therapy research
  • Immunology top 10%
    • Immune Cell Function and Interaction
    • Immunotherapy and Immune Responses

Papers in

Robert Watson

41 papers receiving 1.2k citations

Peers

Robert Watson
Comparison fields: 5 of 127
  • Oncology 346
  • Immunology 222
  • Neurology 112
  • Pathology and Forensic Medicine 129
  • Cancer Research 95
Replace Martin Tobi with:
Martin Tobi United States
Ning‐Sheng Lai Taiwan
Wataru Yamamoto Japan
Zhihui Li China
Michelle Harrison Australia
Frances McSherry United States
Gianluigi Lunardi Italy
J. W. J. Bijlsma Netherlands
Joo Hyun Kim South Korea
Yuko Okuyama Japan
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Citations per field
00.5×6.2×
Martin Tobi · 1×
Citations per year

Countries citing papers authored by Robert Watson

Since Specialization
Citations

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

Fields of papers citing papers by Robert Watson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 202336
2 20231
3 202252
4 202214
5 202133
6 20217
7 2020198
8 202015
9 202018
10 201837
11 201622
12
Erratum: Are treatments more effective than placebos? A systematic review and meta-analysis (PLoS ONE (2015) 11:1 (e0147354) 10.1371/journal.pone.0147354))
20162
13 201515
14 201270
15 20121
16 20111
17 200513
18 200082
19 19974
20 19944

About Robert Watson

Robert Watson is a scholar working on Critical Care and Intensive Care Medicine, Oncology, Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Developmental Neuroscience, having authored 41 papers that have together received 1.2k indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (5 papers), COVID-19 diagnosis using AI (4 papers), Immune Cell Function and Interaction (4 papers), Testicular diseases and treatments (4 papers), Pain Management and Placebo Effect (3 papers), CAR-T cell therapy research (3 papers), COVID-19 Clinical Research Studies (3 papers) and Ion channel regulation and function (3 papers). The work is most often cited by research in Oncology (346 citations), Immunology (222 citations), Neurology (112 citations), Pathology and Forensic Medicine (129 citations) and Cancer Research (95 citations). Robert Watson has collaborated with scholars based in United Kingdom, United States and South Korea. Frequent co-authors include Maria Tsakok, Benjamin P. Fairfax, Mark R. Middleton, Chelsea Taylor, Rosalin Cooper, Isar Nassiri, Zoë Traill, Elise A. Mahé, E K Lang and R. J. Irwin. Their work appears in journals such as Interactive Cardiovascular and Thoracic Surgery, PLoS ONE, Nature Communications, Clinical Radiology and Neurology.

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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