Elizabeth LaBell

759 total citations
26 papers, 296 citations indexed

About

Elizabeth LaBell is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery and Molecular Biology. According to data from OpenAlex, Elizabeth LaBell has authored 26 papers receiving a total of 296 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Endocrinology, Diabetes and Metabolism, 12 papers in Surgery and 5 papers in Molecular Biology. Recurrent topics in Elizabeth LaBell's work include Diabetes Management and Research (15 papers), Diabetes Treatment and Management (14 papers) and Pancreatic function and diabetes (12 papers). Elizabeth LaBell is often cited by papers focused on Diabetes Management and Research (15 papers), Diabetes Treatment and Management (14 papers) and Pancreatic function and diabetes (12 papers). Elizabeth LaBell collaborates with scholars based in United States, Germany and Canada. Elizabeth LaBell's co-authors include Jennifer Leohr, Helle Linnebjerg, Mary Anne Dellva, David E. Coutant, Qianyi Zhang, Eric Zijlstra, Tim Heise, Leona Plum‐Mörschel, Ulrike Hövelmann and Christoph Kapitza and has published in prestigious journals such as Journal of Clinical Oncology, Diabetes Care and Diabetes.

In The Last Decade

Elizabeth LaBell

24 papers receiving 289 citations

Peers

Elizabeth LaBell
Comparison fields: 5 of 61
  • Endocrinology, Diabetes and Metabolism 192
  • Surgery 144
  • Genetics 86
  • Molecular Biology 55
  • Organic Chemistry 34
Replace Daniel E. Cruz with:
Daniel E. Cruz United States
Keita Nakanishi Japan
Yoshinori Osaki Japan
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Margit MacDougall United States
Donglin Luo China
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Anna Y. Belorusova France
B Steinmann Switzerland
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Daniel E. Cruz United States View profile →
Citations per field, relative to Elizabeth LaBell
Elizabeth LaBell · 1×
Citations per year, relative to Elizabeth LaBell
Elizabeth LaBell · 1×

Countries citing papers authored by Elizabeth LaBell

Since Specialization
Citations

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

Fields of papers citing papers by Elizabeth LaBell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Elizabeth LaBell

This figure shows the co-authorship network connecting the top 25 collaborators of Elizabeth LaBell. A scholar is included among the top collaborators of Elizabeth LaBell 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 Elizabeth LaBell. Elizabeth LaBell 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 3
3 8
4 2
5 0
6 19
7 3
8 15
9 47
10 45
11 4
12 26
13 4
14 1
15 3
16 9
17 4
18 31
19 6
20 17

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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