Geoff Hackett

19 papers receiving 199 citations

Peers

Geoff Hackett
Comparison fields: 5 of 53
  • Endocrinology, Diabetes and Metabolism 130
  • Pharmacology 41
  • Reproductive Medicine 20
  • Psychiatry and Mental health 34
  • Behavioral Neuroscience 5
Replace Alejandro Salcido‐Montenegro with:
Alejandro Salcido‐Montenegro Mexico
Monica Caliber United States
Mithun Bhartia United Kingdom
Behre Hm Germany
Maged William Australia
Michel Herrou France
Karen Boje Pedersen Denmark
Veena Jayadev Australia
William Conners United States
M. L. Lee United States
Geoff Hackett relative to Alejandro Salcido‐Montenegro Mexico Alejandro Salcido‐Montenegro's profile →
Citations per field
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Alejandro Salcido‐Montenegro · 1×
Citations per year

Countries citing papers authored by Geoff Hackett

Since Specialization
Citations

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

Fields of papers citing papers by Geoff Hackett

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201052
2 202343
3 201934
4 202217
5 201015
6 20217
7 20246
8 20216
9 20195
10 20224
11 20183
12 20213
13 19903
14 20162
15 20212
16 20192
17 20062
18 20231
19 20151
20 20051

About Geoff Hackett

Geoff Hackett is a scholar working on Endocrinology, Diabetes and Metabolism, Pharmacology, Molecular Biology, Psychiatry and Mental health and Sociology and Political Science, having authored 22 papers that have together received 209 indexed citations. Recurring topics across this work include Hormonal and reproductive studies (16 papers), Pharmacology and Obesity Treatment (8 papers), Sexual Differentiation and Disorders (7 papers), Sexual function and dysfunction studies (5 papers), Muscle metabolism and nutrition (2 papers), COVID-19 Clinical Research Studies (2 papers), Doping in Sports (2 papers) and SARS-CoV-2 and COVID-19 Research (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (130 citations), Pharmacology (41 citations), Reproductive Medicine (20 citations), Psychiatry and Mental health (34 citations) and Behavioral Neuroscience (5 citations). Geoff Hackett has collaborated with scholars based in United Kingdom, United States and United Arab Emirates. Frequent co-authors include Sudarshan Ramachandran, Mark Livingston, Frederick C. W. Wu, David Goldmeier, Philip Kell, Margaret Rees, Pierre-Marc Bouloux, Kevan Wylie, Tom Trinick and Tim Terry. Their work appears in journals such as The World Journal of Men s Health, Maturitas, European Cardiology Review, Clinica Chimica Acta and Journal of Family Planning and Reproductive Health Care.

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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