N.H. Ertel

23 papers receiving 838 citations

Peers

N.H. Ertel
Comparison fields: 5 of 97
  • Endocrinology, Diabetes and Metabolism 329
  • Reproductive Medicine 315
  • Molecular Biology 178
  • Public Health, Environmental and Occupational Health 175
  • Physiology 154
Replace Joan DiMartino-Nardi with:
Joan DiMartino-Nardi United States
Ralph G. Wieland United States
A Czyźyk Poland
Charlene Franz United States
Maria Creatsa Greece
Anthony M. Frumar United States
B T Rudd United Kingdom
José Rodrı́guez-Espinosa Spain
L Zichella Italy
W S Campbell United States
N.H. Ertel relative to Joan DiMartino-Nardi United States Joan DiMartino-Nardi's profile →
Citations per field
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Citations per year

Countries citing papers authored by N.H. Ertel

Since Specialization
Citations

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

Fields of papers citing papers by N.H. Ertel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by N.H. Ertel. 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 N.H. Ertel. The network helps show where N.H. Ertel may publish in the future.

Co-authorship network of co-authors of N.H. Ertel

This figure shows the co-authorship network connecting the top 25 collaborators of N.H. Ertel. A scholar is included among the top collaborators of N.H. Ertel 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 N.H. Ertel. N.H. Ertel 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
#WorkIndexed citations
1
Racial differences in compliance with NCEP-II recommendations for secondary prevention at a Veterans Affairs medical center.
22
2 13
3 9
4 237
5 1
6
A very-low-calorie formula diet program for control of major obesity: an 8-year experience.
1
7 18
8 5
9 4
10 117
11 27
12
Steroid hormone profiles in women treated with aminoglutethimide for metastatic carcinoma of the breast.
5
13 8
14 8
15
Supplemented starvation: a successful method for control of major obesity.
6
16 31
17 26
18 3
19 15
20
Colchicine: current problems.
10

About N.H. Ertel

N.H. Ertel is a scholar working on Endocrinology, Diabetes and Metabolism, Reproductive Medicine and Behavioral Neuroscience, having authored 24 papers that have together received 886 indexed citations. Recurring topics across this work include Hormonal and reproductive studies (8 papers), Ovarian function and disorders (3 papers) and Diet and metabolism studies (3 papers). The work is most often cited by research in Reproductive Medicine (315 citations), Endocrinology, Diabetes and Metabolism (329 citations) and Behavioral Neuroscience (44 citations). N.H. Ertel has collaborated with scholars based in United States and Türkiye. Frequent co-authors include E Samojlik, Marvin A. Kirschner, George Schneider, Alan D. Rogol, J. D. Veldhuis, Philip May, J. C. Mittler, Gerhard Schneider, Leonard Pogach and Jens Mittler. Their work appears in journals such as The Lancet, Journal of Clinical Investigation and The Journal of Clinical Endocrinology & Metabolism.

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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