Fenella Greig

1.3k citations
36 papers · 956 · h-index 15

Impact in

Papers in

Fenella Greig

36 papers receiving 905 citations

Peers

Fenella Greig
Comparison fields: 5 of 102
  • Reproductive Medicine 203
  • Endocrinology, Diabetes and Metabolism 300
  • Behavioral Neuroscience 60
  • Endocrine and Autonomic Systems 49
  • Genetics 184
Replace Robert M. Mitchell with:
Robert M. Mitchell United Kingdom
E. del Pozo Germany
Risto Erkkola Finland
Lubomir J. Valenta United States
C. H. Mortimer United Kingdom
Roberto Mioni Italy
Fred Benjamin United States
T J Benraad Netherlands
K Zuppinger Switzerland
T. Ranta Finland
Fenella Greig relative to Robert M. Mitchell United Kingdom Robert M. Mitchell's profile →
Citations per field
00.5×1.5×
Robert M. Mitchell · 1×
Citations per year

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-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999125
2 1974102
3 201196
4 198394
5 197572
6 197366
7 199650
8 198138
9 197436
10 200730
11 197528
12 197327
13 198626
14 199522
15 199020
16 198912
17 199811
18 201111
19 199410
20
Duplication 11 (q22----qter) in an infant. A case report with review.
198510

About Fenella Greig

Fenella Greig is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery, Molecular Biology, Reproductive Medicine and Pediatrics, Perinatology and Child Health, having authored 36 papers that have together received 956 indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (7 papers), Ovarian function and disorders (4 papers), Adrenal Hormones and Disorders (4 papers), Hormonal and reproductive studies (3 papers), Hypothalamic control of reproductive hormones (3 papers), Thyroid Disorders and Treatments (3 papers), Neonatal Health and Biochemistry (2 papers) and Spectroscopy and Chemometric Analyses (2 papers). The work is most often cited by research in Reproductive Medicine (203 citations), Endocrinology, Diabetes and Metabolism (300 citations), Behavioral Neuroscience (60 citations), Endocrine and Autonomic Systems (49 citations) and Genetics (184 citations). Fenella Greig has collaborated with scholars based in United States, United Kingdom and Portugal. Frequent 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. Their work appears in journals such as Journal of Endocrinology, The Journal of Pediatrics, Pediatric Research, The Journal of Clinical Endocrinology & Metabolism and Measurement Science and Technology.

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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