Robert M. Watt

804 citations
27 papers · 667 · h-index 16

Impact in

Papers in

Robert M. Watt

27 papers receiving 620 citations

Peers

Robert M. Watt
Comparison fields: 5 of 87
  • Transplantation 68
  • Radiology, Nuclear Medicine and Imaging 202
  • Hematology 92
  • Immunology 131
  • Microbiology 30
Replace Shirley H.Y. Hung with:
Shirley H.Y. Hung United States
Lars Sandberg Sweden
Robert P. Milius United States
Gareth J. Morgan United States
Tristan Wagner Germany
Sayaka Sato Japan
M.S. Metcalfe United Kingdom
Pak H. Poon United States
Carsten Peters Germany
Henry G. Hocking Netherlands
Robert M. Watt relative to Shirley H.Y. Hung United States Shirley H.Y. Hung's profile →
Citations per field
00.5×7.5×
Shirley H.Y. Hung · 1×
Citations per year

Countries citing papers authored by Robert M. Watt

Since Specialization
Citations

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

Fields of papers citing papers by Robert M. Watt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1977101
2 199063
3 199061
4 197950
5 197842
6 199140
7 198034
8 198029
9 199126
10 198723
11 198622
12 198021
13 199220
14 198320
15 197017
16 197716
17 199013
18 198113
19 198612
20 197912

About Robert M. Watt

Robert M. Watt is a scholar working on Radiology, Nuclear Medicine and Imaging, Molecular Biology, Surgery, Immunology and Hematology, having authored 27 papers that have together received 667 indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (12 papers), Protein purification and stability (4 papers), Glycosylation and Glycoproteins Research (3 papers), Platelet Disorders and Treatments (3 papers), Antioxidant Activity and Oxidative Stress (3 papers), Protein Interaction Studies and Fluorescence Analysis (3 papers), Neurogenesis and neuroplasticity mechanisms (2 papers) and Hemophilia Treatment and Research (2 papers). The work is most often cited by research in Transplantation (68 citations), Radiology, Nuclear Medicine and Imaging (202 citations), Hematology (92 citations), Immunology (131 citations) and Microbiology (30 citations). Robert M. Watt has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Edward W. Voss, P. Gjörstrup, Jacqueline A. Reynolds, Jonathan Himmelfarb, James N. Herron, Rebecca L. Wingard, J. Michael Lazarus, Raymond M. Hakim, Edgar L. Milford and Guido A. Zampighi. Their work appears in journals such as Brain Research, Molecular Immunology, Journal of Clinical Microbiology, Biochemistry and Journal of Biological Chemistry.

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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