Danielle Gully

30 papers receiving 1.6k citations

Peers

Danielle Gully
Comparison fields: 5 of 81
  • Cellular and Molecular Neuroscience 1.2k
  • Behavioral Neuroscience 189
  • Biological Psychiatry 83
  • Reproductive Medicine 185
  • Endocrine and Autonomic Systems 135
Replace P. Giraud with:
P. Giraud France
Adair J. Hotchkiss United States
John A. Morrow United Kingdom
Ali Ardati Switzerland
Juan M. Luque Spain
Jelveh Lameh United States
Nanda Tilakaratne Australia
A R Wakade United States
I.J.M. Beresford United Kingdom
Y. Torrens France
Danielle Gully relative to P. Giraud France P. Giraud's profile →
Citations per field
00.5×5×10.4×
P. Giraud · 1×
Citations per year

Countries citing papers authored by Danielle Gully

Since Specialization
Citations

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

Fields of papers citing papers by Danielle Gully

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1998343
2 2002211
3 1997189
4 199997
5 199372
6 199872
7 199468
8 199968
9 199766
10 199662
11 199762
12 199956
13 199749
14 199849
15 199738
16 199736
17 199532
18 199425
19 199423
20 199414

About Danielle Gully

Danielle Gully is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Oncology, Physiology and Reproductive Medicine, having authored 30 papers that have together received 1.7k indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (27 papers), Receptor Mechanisms and Signaling (20 papers), Hypothalamic control of reproductive hormones (5 papers), Peptidase Inhibition and Analysis (5 papers), Pain Mechanisms and Treatments (3 papers), Chemical Synthesis and Analysis (3 papers), Pharmacological Effects and Assays (2 papers) and Cancer, Stress, Anesthesia, and Immune Response (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.2k citations), Behavioral Neuroscience (189 citations), Biological Psychiatry (83 citations), Reproductive Medicine (185 citations) and Endocrine and Autonomic Systems (135 citations). Danielle Gully has collaborated with scholars based in France, Germany and United States. Frequent co-authors include Jean‐Pierre Maffrand, Natalio Vita, Jean Mazella, Jean‐Pierre Vincent, Joëlle Chabry, Gérard Le Fur, Philippe Soubrié, R. Steinberg, Pascual Ferrara and Nicole Zsürger. Their work appears in journals such as European Journal of Pharmacology, Journal of Biological Chemistry, Journal of Pharmacology and Experimental Therapeutics, British Journal of Pharmacology and Neuroendocrinology.

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.

Explore authors with similar magnitude of impact