Meg Keil

1.9k citations
39 papers · 1.1k · h-index 16

Impact in

Papers in

    • Pituitary Gland Disorders and Treatments 22
    • Adrenal Hormones and Disorders 17
    • Growth Hormone and Insulin-like Growth Factors 10
    • Hormonal Regulation and Hypertension 4
    • Adrenal and Paraganglionic Tumors 15

Meg Keil

36 papers receiving 1.0k citations

Peers

Meg Keil
Comparison fields: 5 of 60
  • Endocrinology, Diabetes and Metabolism 670
  • Nephrology 154
  • Surgery 636
  • Cardiology and Cardiovascular Medicine 135
  • Neurology 88
Replace Marianne S. Elston with:
Marianne S. Elston New Zealand
A. Pia Italy
Stéphanie Espiard France
Helen Karga Greece
Stine Lyngvi Fougner Norway
Zdeněk Fryšák Czechia
Anna Pia Italy
Anne‐Greth Bondeson Sweden
Leonardo Vicentini Italy
Wolfgang Raber Austria
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Citations per field
00.5×
Marianne S. Elston · 1×
Citations per year

Countries citing papers authored by Meg Keil

Since Specialization
Citations

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

Fields of papers citing papers by Meg Keil

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003192
2 2007111
3 201195
4 200584
5 200481
6 200574
7 201448
8 200848
9 200948
10 201726
11 201526
12 201725
13 201220
14 201019
15 201117
16 202015
17 200412
18 201911
19 201611
20 201311

About Meg Keil

Meg Keil is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery, Cardiology and Cardiovascular Medicine, Molecular Biology and Pulmonary and Respiratory Medicine, having authored 39 papers that have together received 1.1k indexed citations. Recurring topics across this work include Pituitary Gland Disorders and Treatments (22 papers), Adrenal Hormones and Disorders (17 papers), Adrenal and Paraganglionic Tumors (15 papers), Cardiac tumors and thrombi (10 papers), Growth Hormone and Insulin-like Growth Factors (10 papers), Hormonal Regulation and Hypertension (4 papers), Sarcoma Diagnosis and Treatment (3 papers) and Ovarian function and disorders (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (670 citations), Nephrology (154 citations), Surgery (636 citations), Cardiology and Cardiovascular Medicine (135 citations) and Neurology (88 citations). Meg Keil has collaborated with scholars based in United States, Greece and Hungary. Frequent co-authors include Constantine A. Stratakis, Dalia L. Batista, Maya Lodish, Charles L. McGarvey, Lynn H. Gerber, Chia W. Ko, James C. Reynolds, Gordon B. Cutler, Karen K. Winer and Edward H. Oldfield. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Pediatric Research, Hormone and Metabolic Research, Cell Metabolism and Surgery.

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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