C. Flood

1.1k citations
26 papers · 856 · h-index 16

Impact in

Papers in

C. Flood

25 papers receiving 747 citations

Peers

C. Flood
Comparison fields: 5 of 102
  • Endocrinology, Diabetes and Metabolism 487
  • Behavioral Neuroscience 67
  • Reproductive Medicine 63
  • Nephrology 51
  • Genetics 139
Replace S. A. S. Tait with:
S. A. S. Tait United States
A. Riondel Switzerland
Richard L. Landau United States
G. S. Kledzik United States
Usha Chopra United States
Kathleen Lugibihl United States
M. Schöneshöfer Germany
M. J. Levell United Kingdom
Jessie Marmorston United States
Geneviève Escher Switzerland
C. Flood relative to S. A. S. Tait United States S. A. S. Tait's profile →
Citations per field
00.5×
S. A. S. Tait · 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 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1962134
2 196187
3 196786
4 196877
5 196569
6 196755
7 199345
8 198244
9 197042
10 195231
11 197030
12 197627
13 199322
14 198220
15 198316
16 196716
17 198014
18 197811
19 19738
20 19878

About C. Flood

C. Flood is a scholar working on Endocrinology, Diabetes and Metabolism, Genetics, Molecular Biology, Pulmonary and Respiratory Medicine and Reproductive Medicine, having authored 26 papers that have together received 856 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), Ovarian function and disorders (3 papers), Adipose Tissue and Metabolism (3 papers), Stress Responses and Cortisol (3 papers), Pharmacological Effects and Assays (2 papers) and Sexual Differentiation and Disorders (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (487 citations), Behavioral Neuroscience (67 citations), Reproductive Medicine (63 citations), Nephrology (51 citations) and Genetics (139 citations). C. Flood has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include J. F. Tait, S. A. S. Tait, Christopher Longcope, B. Little, S. Willoughby, S. A. S. Tait, Gregory Pincus, Chantal Bourget, Donald S. Layne and Savitri Ramcharan. 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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