D.R. Fahmy

545 citations
21 papers · 441 indexed · h-index 10
Topics
Hormonal and reproductive studies (6 papers)Estrogen and related hormone effects (4 papers)Ovarian function and disorders (3 papers)

In The Last Decade

D.R. Fahmy

19 papers receiving 404 citations

Peers

D.R. Fahmy
Comparison fields: 5 of 79
  • Endocrinology, Diabetes and Metabolism 186
  • Genetics 167
  • Oncology 90
  • Molecular Biology 79
  • Pulmonary and Respiratory Medicine 67
Replace G. V. Groom with:
G. V. Groom United Kingdom
Susan J. Quirk Australia
Eleonora P. Giorgi United Kingdom
T Fehér Hungary
William H. Cleland United States
K Korte Germany
W.H. Pearlman United States
Wells E. Farnsworth United States
Claude Labrie Canada
MacDonald Pc United States
D.R. Fahmy relative to G. V. Groom United Kingdom G. V. Groom's profile →
Citations per field
00.5×2.8×
G. V. Groom · 1×
Citations per year

Countries citing papers authored by D.R. Fahmy

Since Specialization
Citations

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

Fields of papers citing papers by D.R. Fahmy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by D.R. Fahmy. 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 D.R. Fahmy. The network helps show where D.R. Fahmy may publish in the future.

Co-authorship network of co-authors of D.R. Fahmy

This figure shows the co-authorship network connecting the top 25 collaborators of D.R. Fahmy. A scholar is included among the top collaborators of D.R. Fahmy 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 D.R. Fahmy. D.R. Fahmy 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 2
2 0
3 4
4
Development of statistical and analytical techniques for use in national quality control schemes for steroid hormones
1
5 75
6 0
7 18
8 56
9 15
10 87
11 48
12 60
13 5
14 4
15 29
16 3
17
Hormonal changes in patients with defective luteal phases.
3
18 2
19 1
20 12

About D.R. Fahmy

D.R. Fahmy is a scholar working on Endocrinology, Diabetes and Metabolism, Reproductive Medicine and Behavioral Neuroscience, having authored 21 papers that have together received 441 indexed citations. Recurring topics across this work include Hormonal and reproductive studies (6 papers), Estrogen and related hormone effects (4 papers) and Ovarian function and disorders (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (186 citations), Genetics (167 citations) and Behavioral Neuroscience (19 citations). D.R. Fahmy has collaborated with scholars based in United Kingdom and United States. Frequent co-authors include G F Read, K. Griffiths, G. V. Groom, M. E. Phillips, W.B. Peeling, M. E. Harper, Brian G. Brownsey, Stephen G. Hillier, Bernie Fitzharris and J.M. Henk. Their work appears in journals such as The Lancet, Annals of the New York Academy of Sciences and British Journal of Cancer.

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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