Vera Schultz

1.3k citations
22 papers · 1.1k · h-index 18

Impact in

Papers in

    • Pancreatic function and diabetes 11
    • Adipose Tissue and Metabolism 4
    • Adenosine and Purinergic Signaling 3

Vera Schultz

22 papers receiving 1.1k citations

Peers

Vera Schultz
Comparison fields: 5 of 86
  • Physiology 118
  • Endocrinology, Diabetes and Metabolism 224
  • Clinical Biochemistry 76
  • Physiology 256
  • Surgery 427
Replace Yvan Fischer with:
Yvan Fischer Germany
Gordon C. Yaney United States
Gary D. Lopaschuk Canada
F. Pecker France
Richard B. Wambolt Canada
CORENTIN M.H. CRAS-MÉNEUR United States
Kimberley M. Mellor Australia
Sylvie Durant France
Daniel H. Platt United States
Andrey P. Babenko United States
Vera Schultz relative to Yvan Fischer Germany Yvan Fischer's profile →
Citations per field
00.5×1.7×
Yvan Fischer · 1×
Citations per year

Countries citing papers authored by Vera Schultz

Since Specialization
Citations

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

Fields of papers citing papers by Vera Schultz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004196
2 1978120
3 1976107
4 1996105
5 200975
6 199571
7 199656
8 199351
9 200047
10 200740
11 198832
12 199131
13 200129
14 198825
15 199025
16 201524
17 199424
18 200320
19 199018
20 200717

About Vera Schultz

Vera Schultz is a scholar working on Surgery, Physiology, Physiology, Molecular Biology and Endocrinology, Diabetes and Metabolism, having authored 22 papers that have together received 1.1k indexed citations. Recurring topics across this work include Pancreatic function and diabetes (11 papers), Metabolism, Diabetes, and Cancer (6 papers), Diet, Metabolism, and Disease (4 papers), Adipose Tissue and Metabolism (4 papers), Biochemical and Molecular Research (3 papers), Adenosine and Purinergic Signaling (3 papers), Diabetes and associated disorders (2 papers) and Neuroscience and Neuropharmacology Research (2 papers). The work is most often cited by research in Physiology (118 citations), Endocrinology, Diabetes and Metabolism (224 citations), Clinical Biochemistry (76 citations), Physiology (256 citations) and Surgery (427 citations). Vera Schultz has collaborated with scholars based in United States, Sweden and Israel. Frequent co-authors include Keith Tornheim, John M. Lowenstein, Barbara E. Corkey, Per‐Olof Berggren, Ilka M. Pinz, Joanne S. Ingwall, Rong Tian, Beverly H. Lorell, Luigino Nascimben and Jude T. Deeney. Their work appears in journals such as Journal of Biological Chemistry, Biochemical Journal, American Journal of Physiology-Endocrinology and Metabolism, Analytical Biochemistry and Diabetes.

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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