Kieran McCafferty

3.4k citations
52 papers · 666 · h-index 12

Impact in

Papers in

Kieran McCafferty

41 papers receiving 657 citations

Peers

Kieran McCafferty
Comparison fields: 5 of 91
  • Nephrology 180
  • Developmental Neuroscience 56
  • Endocrinology, Diabetes and Metabolism 111
  • Pathology and Forensic Medicine 105
  • Pulmonary and Respiratory Medicine 181
Replace Alessandro Putzu with:
Alessandro Putzu Switzerland
Amira Peco‐Antić Serbia
Siva Senthuran Australia
Yılmaz Güneş Türkiye
Chih-Chiang Chien Taiwan
Chandana Ratnatunga United Kingdom
Stefano Maffei Italy
Sachin Soni India
Mustafa Cömert Türkiye
G. Goldfarb France
Kieran McCafferty relative to Alessandro Putzu Switzerland Alessandro Putzu's profile →
Citations per field
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Alessandro Putzu · 1×
Citations per year

Countries citing papers authored by Kieran McCafferty

Since Specialization
Citations

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

Fields of papers citing papers by Kieran McCafferty

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2021101
2 201998
3 201490
4 201368
5 201241
6 202233
7 201823
8 201922
9 202117
10 200616
11 202016
12 201415
13 201311
14 201410
15 202010
16 20248
17 20247
18 20237
19 20227
20 20207

About Kieran McCafferty

Kieran McCafferty is a scholar working on Nephrology, Endocrinology, Diabetes and Metabolism, Pulmonary and Respiratory Medicine, Molecular Biology and Surgery, having authored 52 papers that have together received 666 indexed citations. Recurring topics across this work include Dialysis and Renal Disease Management (8 papers), Diabetes Management and Research (6 papers), Potassium and Related Disorders (6 papers), Dermatology and Skin Diseases (5 papers), Diabetes Treatment and Management (5 papers), Urticaria and Related Conditions (5 papers), Chronic Kidney Disease and Diabetes (4 papers) and Membrane-based Ion Separation Techniques (4 papers). The work is most often cited by research in Nephrology (180 citations), Developmental Neuroscience (56 citations), Endocrinology, Diabetes and Metabolism (111 citations), Pathology and Forensic Medicine (105 citations) and Pulmonary and Respiratory Medicine (181 citations). Kieran McCafferty has collaborated with scholars based in United Kingdom, United States and Japan. Frequent co-authors include Christoph Thiemermann, Muhammad M. Yaqoob, Stanley Fan, Suzanne Forbes, Andrew Davenport, Julius Kieswich, Sunil Bhandari, Steven Fishbane, Anjay Rastogi and Nicolás Guzmán. Their work appears in journals such as Nephrology Dialysis Transplantation, BMC Nephrology, Kidney International Reports, Journal of the American Society of Nephrology and BMJ Open.

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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