John Connell

37.3k total citations · 1 hit paper
179 papers, 8.7k citations indexed

About

John Connell is a scholar working on Endocrinology, Diabetes and Metabolism, Cardiology and Cardiovascular Medicine and Surgery. According to data from OpenAlex, John Connell has authored 179 papers receiving a total of 8.7k indexed citations (citations by other indexed papers that have themselves been cited), including 101 papers in Endocrinology, Diabetes and Metabolism, 62 papers in Cardiology and Cardiovascular Medicine and 46 papers in Surgery. Recurrent topics in John Connell's work include Hormonal Regulation and Hypertension (85 papers), Adrenal Hormones and Disorders (24 papers) and Renin-Angiotensin System Studies (21 papers). John Connell is often cited by papers focused on Hormonal Regulation and Hypertension (85 papers), Adrenal Hormones and Disorders (24 papers) and Renin-Angiotensin System Studies (21 papers). John Connell collaborates with scholars based in United Kingdom, United States and Germany. John Connell's co-authors include John R. Petrie, Eleanor Davies, Robert Fraser, Henry L. Elliott, Gwyn W. Gould, Shinichiro Ueda, Naveed Sattar, Helen Lyall, Scott M. MacKenzie and M Ingram and has published in prestigious journals such as Journal of Biological Chemistry, Circulation and Nature Genetics.

In The Last Decade

John Connell

175 papers receiving 8.4k citations

Hit Papers

Low Grade Chronic Inflammation in Women with Polycystic O... 2001 2026 2009 2017 2001 100 200 300 400 500

Peers

John Connell
Comparison fields: 5 of 142
  • Endocrinology, Diabetes and Metabolism 4.3k
  • Cardiology and Cardiovascular Medicine 2.9k
  • Molecular Biology 1.9k
  • Surgery 1.7k
  • Physiology 1.2k
Replace John H. Krege with:
John H. Krege United States
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Matthias Barton Switzerland
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Hans Ørskov Denmark
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Citations per field, relative to John Connell
John Connell · 1×
Citations per year, relative to John Connell
John Connell · 1×

Countries citing papers authored by John Connell

Since Specialization
Citations

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

Fields of papers citing papers by John Connell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of John Connell

This figure shows the co-authorship network connecting the top 25 collaborators of John Connell. A scholar is included among the top collaborators of John Connell 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 John Connell. John Connell 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
# Work Indexed citations
1 35
2 177
3 5
4 225
5 32
6 101
7
A succinate dehydrogenase B (SDHB) founder mutation
1
8 7
9 67
10
Acute aldosterone responses to ACTH predict both cortisol responses and blood pressure
2
11
Genetics of hypertension
2
12 134
13 15
14
Variation at the beta-1 adrenoceptor gene locus affects left ventricular mass in renal failure.
15
15 14
16 103
17 30
18 10
19 11
20 16

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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