Ian N. Watt

16 total papers · 2.7k total citations
14 papers, 2.2k citations indexed

About

Ian N. Watt is a scholar working on Molecular Biology, Epidemiology and Virology. According to data from OpenAlex, Ian N. Watt has authored 14 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 5 papers in Epidemiology and 4 papers in Virology. Recurrent topics in Ian N. Watt's work include Mitochondrial Function and Pathology (5 papers), ATP Synthase and ATPases Research (5 papers) and Cytomegalovirus and herpesvirus research (5 papers). Ian N. Watt is often cited by papers focused on Mitochondrial Function and Pathology (5 papers), ATP Synthase and ATPases Research (5 papers) and Cytomegalovirus and herpesvirus research (5 papers). Ian N. Watt collaborates with scholars based in United Kingdom, United States and Canada. Ian N. Watt's co-authors include Michael S. Neuberger, Svend K. Petersen‐Mahrt, Reuben S. Harris, Michael H. Malim, Kate N. Bishop, Ann M. Sheehy, Heather M. Craig, John E. Walker, Michael J. Runswick and M.G. Montgomery and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Ian N. Watt

13 papers receiving 2.2k citations

Hit Papers

DNA Deamination Mediates ... 2003 2026 2010 2018 2003 250 500 750 1000

Author Peers

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

Author Last Decade Papers Cites
Ian N. Watt 1.2k 1.0k 573 532 498 14 2.2k
Jennifer Garrus 1.2k 1.0× 1.1k 1.0× 446 0.8× 562 1.1× 691 1.4× 19 2.7k
Emmanuel Ségéral 903 0.7× 1.0k 1.0× 398 0.7× 451 0.8× 749 1.5× 19 1.9k
Heather L. Wiegand 1.1k 0.9× 994 1.0× 592 1.0× 474 0.9× 447 0.9× 18 2.0k
Keisuke Shindo 886 0.7× 1.1k 1.1× 531 0.9× 640 1.2× 458 0.9× 35 1.8k
Amanda J. Price 1.3k 1.1× 1.3k 1.3× 321 0.6× 812 1.5× 522 1.0× 26 2.5k
Sanghee Yoo 1.3k 1.1× 1.5k 1.5× 294 0.5× 772 1.5× 390 0.8× 25 2.3k
Adam J. Fletcher 973 0.8× 1.1k 1.1× 352 0.6× 656 1.2× 601 1.2× 22 1.9k
Monsef Benkirane 708 0.6× 853 0.8× 317 0.6× 371 0.7× 585 1.2× 9 1.5k
Jaisri R. Lingappa 947 0.8× 991 1.0× 506 0.9× 553 1.0× 380 0.8× 36 1.9k
Lily I. Wu 950 0.8× 1.2k 1.2× 482 0.8× 631 1.2× 648 1.3× 21 2.0k

Countries citing papers authored by Ian N. Watt

Since Specialization
Citations

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

Fields of papers citing papers by Ian N. Watt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ian N. Watt

This figure shows the co-authorship network connecting the top 25 collaborators of Ian N. Watt. A scholar is included among the top collaborators of Ian N. 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 Ian N. Watt. Ian N. 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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