Jamie P. Dwyer

8.3k citations
87 papers · 2.9k indexed · 1 hit paper · h-index 25
Topics
Blood Pressure and Hypertension Studies (21 papers)Chronic Kidney Disease and Diabetes (19 papers)Diabetes Treatment and Management (16 papers)

In The Last Decade

Jamie P. Dwyer

85 papers receiving 2.9k citations

Hit Papers

Sotagliflozin in Patients with Diabetes and Chronic Kidne...20202026202220242020250500750

Peers

Jamie P. Dwyer
Comparison fields: 5 of 118
  • Endocrinology, Diabetes and Metabolism 1.1k
  • Nephrology 1.1k
  • Cardiology and Cardiovascular Medicine 678
  • Surgery 631
  • Pulmonary and Respiratory Medicine 449
Replace Sunil V. Badve with:
Sunil V. Badve Australia
Kai‐Ming Chow Hong Kong
José Luis Górriz Spain
John D. Bower United States
Jula K. Inrig United States
Julien Maizel France
Wooseong Huh South Korea
Christophe Mariat France
Kyu Hun Choi South Korea
William E. Smoyer United States
Jamie P. Dwyer relative to Sunil V. Badve Australia Sunil V. Badve's profile →
Citations per field
00.5×2.6×
Sunil V. Badve · 1×
Citations per year

Countries citing papers authored by Jamie P. Dwyer

Since Specialization
Citations

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

Fields of papers citing papers by Jamie P. Dwyer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jamie P. Dwyer. 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 Jamie P. Dwyer. The network helps show where Jamie P. Dwyer may publish in the future.

Co-authorship network of co-authors of Jamie P. Dwyer

This figure shows the co-authorship network connecting the top 25 collaborators of Jamie P. Dwyer. A scholar is included among the top collaborators of Jamie P. Dwyer 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 Jamie P. Dwyer. Jamie P. Dwyer 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 11
2 3
3 0
4 2
5 16
6 1
7 2
8 8
9 0
10 8
11
Sotagliflozin in Patients with Diabetes and Chronic Kidney Diseasebreakdown →
789
12 5
13 56
14 1
15 8
16 6
17 162
18 9
19 31
20 6

About Jamie P. Dwyer

Jamie P. Dwyer is a scholar working on Nephrology, Endocrinology, Diabetes and Metabolism and Hematology, having authored 87 papers that have together received 2.9k indexed citations. Recurring topics across this work include Blood Pressure and Hypertension Studies (21 papers), Chronic Kidney Disease and Diabetes (19 papers) and Diabetes Treatment and Management (16 papers). The work is most often cited by research in Nephrology (1.1k citations), Endocrinology, Diabetes and Metabolism (1.1k citations) and Cardiology and Cardiovascular Medicine (678 citations). Jamie P. Dwyer has collaborated with scholars based in United States, Netherlands and United Kingdom. Frequent co-authors include Julia B. Lewis, Christopher P. Cannon, Darren K. McGuire, Lawrence A. Leiter, Hiddo J.L. Heerspink, Deepak L. Bhatt, Silvio E. Inzucchi, Benjamin M. Scirica, Kausik K. Ray and T. Alp İkizler. Their work appears in journals such as New England Journal of Medicine, The Lancet and Circulation.

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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