Fenella Greig

1.3k total citations
36 papers, 953 citations indexed

About

Fenella Greig is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery and Molecular Biology. According to data from OpenAlex, Fenella Greig has authored 36 papers receiving a total of 953 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Endocrinology, Diabetes and Metabolism, 8 papers in Surgery and 6 papers in Molecular Biology. Recurrent topics in Fenella Greig's work include Growth Hormone and Insulin-like Growth Factors (7 papers), Ovarian function and disorders (4 papers) and Adrenal Hormones and Disorders (4 papers). Fenella Greig is often cited by papers focused on Growth Hormone and Insulin-like Growth Factors (7 papers), Ovarian function and disorders (4 papers) and Adrenal Hormones and Disorders (4 papers). Fenella Greig collaborates with scholars based in United States, United Kingdom and Slovakia. Fenella Greig's co-authors include K. Brown-Grant, George Fink, M. S. AIYER, J.M. Davidson, Sharon E. Oberfield, Maria I. New, Lenore S. Levine, M. A. F. Murray, Robert M. Carey and Stanley Ulick and has published in prestigious journals such as Journal of Clinical Investigation, The Journal of Clinical Endocrinology & Metabolism and Diabetologia.

In The Last Decade

Fenella Greig

36 papers receiving 902 citations

Peers

Fenella Greig
Comparison fields: 5 of 104
  • Endocrinology, Diabetes and Metabolism 307
  • Molecular Biology 256
  • Reproductive Medicine 205
  • Genetics 195
  • Surgery 105
Replace David M. Hurley with:
David M. Hurley Australia
L. M. Demers United States
Mark Stene United States
Joséphine Z. Kasa-Vubu United States
Leslie I. Rose United States
Marianne J. Reymond Switzerland
M Roger France
T. Ranta Finland
Roberto Mioni Italy
P J Pringle United Kingdom
David M. Hurley Australia View profile →
Citations per field, relative to Fenella Greig
Fenella Greig · 1×
Citations per year, relative to Fenella Greig
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Countries citing papers authored by Fenella Greig

Since Specialization
Citations

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

Fields of papers citing papers by Fenella Greig

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fenella Greig

This figure shows the co-authorship network connecting the top 25 collaborators of Fenella Greig. A scholar is included among the top collaborators of Fenella Greig 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 Fenella Greig. Fenella Greig 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 94
2 11
3 29
4 9
5 125
6 7
7 3
8 50
9 10
10 2
11 3
12 20
13 12
14 4
15
Duplication 11 (q22----qter) in an infant. A case report with review.
10
16 3
17 94
18 72
19
CHANGES IN SENSITIVITY OF PITUITARY-GLAND TO LUTEINIZING-HORMONE RELEASING FACTOR DURING ESTROUS-CYCLE OF RAT
1
20 36

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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