Michael A. Calderwood

7.9k citations
28 papers · 1.7k indexed · 1 hit paper · h-index 19
Topics
Viral-associated cancers and disorders (16 papers)Cytomegalovirus and herpesvirus research (15 papers)Herpesvirus Infections and Treatments (10 papers)

In The Last Decade

Michael A. Calderwood

28 papers receiving 1.6k citations

Hit Papers

Network-based prediction of protein interactions2019202620212023201950100150200250

Peers

Michael A. Calderwood
Comparison fields: 5 of 117
  • Molecular Biology 977
  • Oncology 465
  • Epidemiology 362
  • Genetics 184
  • Plant Science 157
Replace Ashton Breitkreutz with:
Ashton Breitkreutz Canada
Bree B. Aldridge United States
Gábor Balázsi United States
Carl Herrmann Germany
Steven B. Haase United States
Russell L. Finley United States
Céline Reverdy France
Ralf Bundschuh United States
Loïc Giot United States
Chandrasekhar Venkataraman United Kingdom
Michael A. Calderwood relative to Ashton Breitkreutz Canada Ashton Breitkreutz's profile →
Citations per field
00.5×3.9×
Ashton Breitkreutz · 1×
Citations per year

Countries citing papers authored by Michael A. Calderwood

Since Specialization
Citations

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

Fields of papers citing papers by Michael A. Calderwood

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael A. Calderwood. 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 Michael A. Calderwood. The network helps show where Michael A. Calderwood may publish in the future.

Co-authorship network of co-authors of Michael A. Calderwood

This figure shows the co-authorship network connecting the top 25 collaborators of Michael A. Calderwood. A scholar is included among the top collaborators of Michael A. Calderwood 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 Michael A. Calderwood. Michael A. Calderwood is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 3
2 4
3 4
4 4
5 5
6 38
7
Network-based prediction of protein interactionsbreakdown →
283
8 18
9 444
10 34
11 15
12 295
13 21
14 1
15 9
16 27
17 48
18 16
19 30
20 27

About Michael A. Calderwood

Michael A. Calderwood is a scholar working on Oncology, Epidemiology and Pathology and Forensic Medicine, having authored 28 papers that have together received 1.7k indexed citations. Recurring topics across this work include Viral-associated cancers and disorders (16 papers), Cytomegalovirus and herpesvirus research (15 papers) and Herpesvirus Infections and Treatments (10 papers). The work is most often cited by research in Oncology (465 citations), Molecular Biology (977 citations) and Epidemiology (362 citations). Michael A. Calderwood has collaborated with scholars based in United States, United Kingdom and Belgium. Frequent co-authors include Marc Vidal, Eric Johannsen, Adrian Whitehouse, Amy M. Holthaus, Elliott Kieff, Anne‐Ruxandra Carvunis, Thomas Rolland, Ilan Wapinski, Jonathan S. Weissman and César A. Hidalgo. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Nature Communications.

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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