C. Flood

1.2k citations
25 papers · 959 · h-index 16

Impact in

Papers in

C. Flood

24 papers receiving 784 citations

Peers

C. Flood
Comparison fields: 5 of 103
  • Endocrinology, Diabetes and Metabolism 546
  • Behavioral Neuroscience 69
  • Reproductive Medicine 77
  • Nephrology 53
  • Pharmacology 47
Replace A. M. Riondel with:
A. M. Riondel Switzerland
Richard L. Landau United States
Eleanor Hill Venning Canada
B. A. K. Khalid Malaysia
Kathleen Lugibihl United States
M. Schöneshöfer Germany
Usha Chopra United States
M. J. Levell United Kingdom
Hans Ludwig Krüskemper Germany
R. V. Brooks United Kingdom
C. Flood relative to A. M. Riondel Switzerland A. M. Riondel's profile →
Citations per field
00.5×2×3×
A. M. Riondel · 1×
Citations per year

Countries citing papers authored by C. Flood

Since Specialization
Citations

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

Fields of papers citing papers by C. Flood

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1962149
2 1961100
3 196796
4 196886
5 196582
6 196759
7 199351
8 197047
9 198244
10 195235
11 197034
12 197634
13 199327
14 198223
15 196718
16 198317
17 198015
18 197811
19 19879
20 19739

About C. Flood

C. Flood is a scholar working on Endocrinology, Diabetes and Metabolism, Genetics, Reproductive Medicine, Behavioral Neuroscience and Animal Science and Zoology, having authored 25 papers that have together received 959 indexed citations. Recurring topics across this work include Hormonal and reproductive studies (9 papers), Estrogen and related hormone effects (8 papers), Hormonal Regulation and Hypertension (7 papers), Stress Responses and Cortisol (3 papers), Ovarian function and disorders (3 papers), Pharmacological Effects and Assays (2 papers), Electrolyte and hormonal disorders (2 papers) and Adipose Tissue and Metabolism (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (546 citations), Behavioral Neuroscience (69 citations), Reproductive Medicine (77 citations), Nephrology (53 citations) and Pharmacology (47 citations). C. Flood has collaborated with scholars based in United States. Frequent co-authors include James Francis Tait, S. A. S. Tait, Christopher Longcope, Bryan E. Little, S. A. S. Tait, S. Willoughby, Gregory Pincus, Chantal Bourget, Savitri Ramcharan and Donald S. Layne. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Journal of Clinical Investigation, Endocrinology, Experimental Biology and Medicine and European Journal of Endocrinology.

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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