Stephen Nolan

493 citations
18 papers · 288 · h-index 10

Impact in

Papers in

Stephen Nolan

18 papers receiving 282 citations

Peers

Stephen Nolan
Comparison fields: 5 of 63
  • Nephrology 115
  • Endocrinology, Diabetes and Metabolism 51
  • Health Informatics 3
  • Transplantation 4
  • Health, Toxicology and Mutagenesis 22
Replace Elisabeth Sörstadius with:
Elisabeth Sörstadius Sweden
Laura Solá Spain
Sana Fathima United States
Salvatore Barone United Kingdom
June Han Lee Taiwan
Ami Ikeda Japan
Moritz Schanz Germany
Amare Desalegn Wolide Ethiopia
Judith J. Gout-Zwart Netherlands
Elisa Longhitano Italy
Stephen Nolan relative to Elisabeth Sörstadius Sweden Elisabeth Sörstadius's profile →
Citations per field
00.5×1.5×
Elisabeth Sörstadius · 1×
Citations per year

Countries citing papers authored by Stephen Nolan

Since Specialization
Citations

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

Fields of papers citing papers by Stephen Nolan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 2020115
2 202224
3 202123
4 202223
5 202419
6 202314
7 202211
8 202210
9 20219
10 20229
11 20247
12 20197
13 20243
14 20133
15 20253
16 20123
17 20233
18 20212

About Stephen Nolan

Stephen Nolan is a scholar working on Nephrology, Endocrinology, Diabetes and Metabolism, Strategy and Management, Cardiology and Cardiovascular Medicine and Finance, having authored 18 papers that have together received 288 indexed citations. Recurring topics across this work include Chronic Kidney Disease and Diabetes (9 papers), Diabetes Treatment and Management (4 papers), Dialysis and Renal Disease Management (2 papers), Housing, Finance, and Neoliberalism (1 paper), Community Development and Social Impact (1 paper), Healthcare Policy and Management (1 paper), Cooperative Studies and Economics (1 paper) and Renal function and acid-base balance (1 paper). The work is most often cited by research in Nephrology (115 citations), Endocrinology, Diabetes and Metabolism (51 citations), Health Informatics (3 citations), Transplantation (4 citations) and Health, Toxicology and Mutagenesis (22 citations). Stephen Nolan has collaborated with scholars based in United Kingdom, United States and Sweden. Frequent co-authors include Juan José García Sánchez, Glen James, Roberto Pecoits‐Filho, Eric Wittbrodt, Elisabeth Sörstadius, Anna Bobrowska, Katherine R. Tuttle, Hungta Chen, Juan Jesús Carrero and Matthew Arnold. Their work appears in journals such as Advances in Therapy, Kidney International Reports, Nephrology Dialysis Transplantation, Diabetes Research and Clinical Practice and BMC Nephrology.

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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