James Watt

54 total papers · 906 total citations
35 papers, 698 citations indexed

About

James Watt is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Oncology. According to data from OpenAlex, James Watt has authored 35 papers receiving a total of 698 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 6 papers in Cardiology and Cardiovascular Medicine and 5 papers in Oncology. Recurrent topics in James Watt's work include Bone Metabolism and Diseases (7 papers), Cardiomyopathy and Myosin Studies (6 papers) and Bone health and treatments (5 papers). James Watt is often cited by papers focused on Bone Metabolism and Diseases (7 papers), Cardiomyopathy and Myosin Studies (6 papers) and Bone health and treatments (5 papers). James Watt collaborates with scholars based in United States, United Kingdom and Canada. James Watt's co-authors include D. J. Thorne, Jennifer J. Schlezinger, Jeffrey R. Moore, Danuta Szczesna‐Cordary, Michelle Jones, Michael J. Greenberg, Martin J. J. Ronis, Louis C. Gerstenfeld, Katarzyna Kaźmierczak and Tanya R. Mealy and has published in prestigious journals such as PEDIATRICS, The FASEB Journal and Medicine & Science in Sports & Exercise.

In The Last Decade

James Watt

34 papers receiving 659 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
James Watt 274 180 116 64 56 35 698
Honghui Wang 158 0.6× 40 0.2× 16 0.1× 72 1.1× 63 1.1× 30 679
Tiantian Zhang 225 0.8× 42 0.2× 16 0.1× 39 0.6× 9 0.2× 39 701
Jessica E. Brandt 142 0.5× 170 0.9× 147 1.3× 2 0.0× 9 0.2× 30 753
Fang Qu 81 0.3× 10 0.1× 74 0.6× 31 0.5× 47 0.8× 49 639
Li Lin 292 1.1× 38 0.2× 17 0.1× 31 0.5× 3 0.1× 59 669
Yuansheng Zhang 363 1.3× 20 0.1× 32 0.3× 40 0.6× 31 0.6× 52 736
Julia Nilsson 65 0.2× 64 0.4× 10 0.1× 19 0.3× 5 0.1× 21 554
Meihui Wang 332 1.2× 90 0.5× 15 0.1× 18 0.3× 8 0.1× 44 679
Yu Zhou 398 1.5× 13 0.1× 24 0.2× 94 1.5× 8 0.1× 37 747
Huihui Zhang 197 0.7× 10 0.1× 156 1.3× 49 0.8× 20 0.4× 39 681

Countries citing papers authored by James Watt

Since Specialization
Citations

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

Fields of papers citing papers by James Watt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of James Watt

This figure shows the co-authorship network connecting the top 25 collaborators of James Watt. A scholar is included among the top collaborators of James Watt based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with James Watt. James Watt is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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