Steven Hildemann

1.6k total citations
30 papers, 1.1k citations indexed

About

Steven Hildemann is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Steven Hildemann has authored 30 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Endocrinology, Diabetes and Metabolism, 9 papers in Surgery and 9 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Steven Hildemann's work include Lipoproteins and Cardiovascular Health (5 papers), Hormonal Regulation and Hypertension (5 papers) and Health Systems, Economic Evaluations, Quality of Life (4 papers). Steven Hildemann is often cited by papers focused on Lipoproteins and Cardiovascular Health (5 papers), Hormonal Regulation and Hypertension (5 papers) and Health Systems, Economic Evaluations, Quality of Life (4 papers). Steven Hildemann collaborates with scholars based in Germany, United States and France. Steven Hildemann's co-authors include Michael Gwilt, Ulrike Gottwald‐Hostalek, Daniela Fraccarollo, Johann Bauersachs, Michael Christ, Georg Ertl, Paolo Galuppo, Christoph Bode, Enrico P. Veltri and Arnoud W.J. van ‘t Hof and has published in prestigious journals such as New England Journal of Medicine, Journal of Clinical Oncology and Journal of the American College of Cardiology.

In The Last Decade

Steven Hildemann

29 papers receiving 1.1k citations

Peers

Steven Hildemann
Comparison fields: 5 of 100
  • Cardiology and Cardiovascular Medicine 537
  • Surgery 409
  • Endocrinology, Diabetes and Metabolism 387
  • Molecular Biology 188
  • Immunology 110
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Citations per field, relative to Steven Hildemann
Steven Hildemann · 1×
Citations per year, relative to Steven Hildemann
Steven Hildemann · 1×

Countries citing papers authored by Steven Hildemann

Since Specialization
Citations

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

Fields of papers citing papers by Steven Hildemann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Steven Hildemann

This figure shows the co-authorship network connecting the top 25 collaborators of Steven Hildemann. A scholar is included among the top collaborators of Steven Hildemann 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 Steven Hildemann. Steven Hildemann 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 3
2 3
3 205
4 8
5 2
6 14
7 2
8 32
9 7
10 112
11
Eplerenone improves vascular function and reduces platelet activation in diabetic rats.
28
12 299
13 0
14 6
15 22
16 124
17 54
18 122
19 3
20 12

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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