Caroline Brain

4.0k citations
62 papers · 2.5k · h-index 26

Impact in

Papers in

Caroline Brain

61 papers receiving 2.3k citations

Peers

Caroline Brain
Comparison fields: 5 of 116
  • Endocrinology, Diabetes and Metabolism 648
  • Reproductive Medicine 182
  • Genetics 541
  • Urology 111
  • Nephrology 122
Replace Markku Ryynänen with:
Markku Ryynänen Finland
H Frisch Austria
Peter Bang Sweden
Marja Thorén Sweden
Jesús Devesa Spain
Pietro Maffei Italy
Régis Levasseur France
Pablo V. Gejman United States
John V. Conaglen New Zealand
J.R.M. Cruysberg Netherlands
Caroline Brain relative to Markku Ryynänen Finland Markku Ryynänen's profile →
Citations per field
00.5×5.1×
Markku Ryynänen · 1×
Citations per year

Countries citing papers authored by Caroline Brain

Since Specialization
Citations

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

Fields of papers citing papers by Caroline Brain

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 62 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005263
2 2011233
3 2007198
4 1999125
5 1995119
6 2007118
7 199489
8 201084
9 200371
10 200564
11 199162
12 200662
13 201161
14 198657
15 198956
16 199855
17 200655
18 201947
19 201047
20 201546

About Caroline Brain

Caroline Brain is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology, Surgery, Genetics and Epidemiology, having authored 62 papers that have together received 2.5k indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (14 papers), Sexual Differentiation and Disorders (8 papers), Pituitary Gland Disorders and Treatments (7 papers), Adrenal Hormones and Disorders (5 papers), Parathyroid Disorders and Treatments (4 papers), Congenital heart defects research (3 papers), Thyroid and Parathyroid Surgery (3 papers) and Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (648 citations), Reproductive Medicine (182 citations), Genetics (541 citations), Urology (111 citations) and Nephrology (122 citations). Caroline Brain has collaborated with scholars based in United Kingdom, United States and Canada. Frequent co-authors include C G D Brook, Peter C. Hindmarsh, Melissa Hines, Mitchell E. Geffner, Vickie Pasterski, Peter C. Hindmarsh, Martin O. Savage, David Grant, Jeremy Allgrove and Mehul Dattani. Their work appears in journals such as Clinical Endocrinology, Hormone Research in Paediatrics, The Journal of Clinical Endocrinology & Metabolism, Hormones and Behavior and Human Molecular Genetics.

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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