Christopher J. Nolan

8.5k total citations · 5 hit papers
129 papers, 5.6k citations indexed

About

Christopher J. Nolan is a scholar working on Surgery, Endocrinology, Diabetes and Metabolism and Obstetrics and Gynecology. According to data from OpenAlex, Christopher J. Nolan has authored 129 papers receiving a total of 5.6k indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Surgery, 48 papers in Endocrinology, Diabetes and Metabolism and 38 papers in Obstetrics and Gynecology. Recurrent topics in Christopher J. Nolan's work include Gestational Diabetes Research and Management (36 papers), Pancreatic function and diabetes (35 papers) and Diabetes Management and Research (22 papers). Christopher J. Nolan is often cited by papers focused on Gestational Diabetes Research and Management (36 papers), Pancreatic function and diabetes (35 papers) and Diabetes Management and Research (22 papers). Christopher J. Nolan collaborates with scholars based in Australia, United States and Canada. Christopher J. Nolan's co-authors include Marc Prentki, Peter Damm, Marie‐Line Peyot, Viviane Delghingaro‐Augusto, David Simmons, Marc Prentki, Jeremy Oats, James D. Wilson, L Hoffman and Gernot Desoyé and has published in prestigious journals such as New England Journal of Medicine, The Lancet and Journal of Biological Chemistry.

In The Last Decade

Christopher J. Nolan

123 papers receiving 5.5k citations

Hit Papers

Type 2 diabetes across generations: from patho... 1998 2026 2007 2016 2011 1998 2023 2024 2024 200 400 600

Peers

Christopher J. Nolan
Comparison fields: 5 of 154
  • Surgery 2.1k
  • Endocrinology, Diabetes and Metabolism 1.7k
  • Obstetrics and Gynecology 1.5k
  • Molecular Biology 1.4k
  • Physiology 1.0k
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Citations per field, relative to Christopher J. Nolan
Christopher J. Nolan · 1×
Citations per year, relative to Christopher J. Nolan
Christopher J. Nolan · 1×

Countries citing papers authored by Christopher J. Nolan

Since Specialization
Citations

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

Fields of papers citing papers by Christopher J. Nolan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Christopher J. Nolan

This figure shows the co-authorship network connecting the top 25 collaborators of Christopher J. Nolan. A scholar is included among the top collaborators of Christopher J. Nolan 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 Christopher J. Nolan. Christopher J. Nolan 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 1
2 0
3 1
4 1
5 4
6 6
7 7
8 3
9 1
10 2
11 2
12 14
13 8
14 4
15 31
16 20
17 8
18
A comparative analysis of changes in visual field sensitivity in type 2 diabetes
1
19
Clinical Utility of Multifocal Pupillographic Objective Perimetry in Type 1 Diabetes
2
20 44

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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