Katrina Mott

1.6k citations
17 papers · 1.2k · 1 hit paper · h-index 11

Impact in

Papers in

Katrina Mott

15 papers receiving 1.2k citations

Katrina Mott's Hit Papers

Cardiovascular, Bleeding, and Mortality Risks in Elderly Medicare Patients Treated With Dabigatran or Warfarin for Nonvalvular Atrial Fibrillation 2014 · 499 citations
4990+4+8Years since publication100200300400

Peers

Katrina Mott
Comparison fields: 5 of 85
  • Internal Medicine 218
  • Cardiology and Cardiovascular Medicine 644
  • Hematology 113
  • Genetics 58
  • Toxicology 18
Replace Cynthia Wu with:
Cynthia Wu Canada
Chang Cl Taiwan
Larissa Bornikova United States
Yun‐Jiu Cheng China
Keith K. Lau United States
Ejler Ejlersen Denmark
Gorana Mitić Serbia
Udayan Bhatt United States
David Jupe Australia
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Citations per year

Countries citing papers authored by Katrina Mott

Since Specialization
Citations

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

Fields of papers citing papers by Katrina Mott

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1
Cardiovascular, Bleeding, and Mortality Risks in Elderly Medicare Patients Treated With Dabigatran or Warfarin for Nonvalvular Atrial Fibrillation
Hit paper breakdown →
2014499
2 2016245
3 2015152
4 201046
5 201142
6 200941
7 201640
8 202033
9 201532
10 201732
11 201714
12 20218
13 20195
14 20164
15 20242
16 20081
17 20250

About Katrina Mott

Katrina Mott is a scholar working on Cardiology and Cardiovascular Medicine, Immunology, Epidemiology, Public Health, Environmental and Occupational Health and Infectious Diseases, having authored 17 papers that have together received 1.2k indexed citations. Recurring topics across this work include Aquaculture disease management and microbiota (3 papers), Atrial Fibrillation Management and Outcomes (3 papers), T-cell and B-cell Immunology (2 papers), Pregnancy and Medication Impact (2 papers), Coagulation, Bradykinin, Polyphosphates, and Angioedema (1 paper), Cytomegalovirus and herpesvirus research (1 paper), HIV-related health complications and treatments (1 paper) and Bacterial Infections and Vaccines (1 paper). The work is most often cited by research in Internal Medicine (218 citations), Cardiology and Cardiovascular Medicine (644 citations), Hematology (113 citations), Genetics (58 citations) and Toxicology (18 citations). Katrina Mott has collaborated with scholars based in United States, Israel and United Kingdom. Frequent co-authors include Marsha E. Reichman, David J. Graham, Michael Wernecke, Jeffrey A. Kelman, Chris Worrall, Thomas MaCurdy, Margie R. Goulding, Mary Southworth, Ting-Chang Sheu and Mark Levenson. Their work appears in journals such as Pharmacoepidemiology and Drug Safety, BMC Pregnancy and Childbirth, The FASEB Journal, Archives of Women s Mental Health and Fish & Shellfish Immunology.

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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