D Fellmann

155 papers receiving 3.3k citations

Peers

D Fellmann
Comparison fields: 5 of 104
  • Endocrine and Autonomic Systems 1.7k
  • Behavioral Neuroscience 483
  • Reproductive Medicine 474
  • Cellular and Molecular Neuroscience 946
  • Cognitive Neuroscience 784
Replace Trevor F.C. Batten with:
Trevor F.C. Batten United Kingdom
Bibie M. Chronwall United States
Sylvie Jégou France
Qun‐Yong Zhou United States
C Bugnon France
Shigeo Daikoku Japan
Mariko Yamano Japan
A. Weindl Germany
Linh Vong United States
Jens Hannibal Denmark
D Fellmann relative to Trevor F.C. Batten United Kingdom Trevor F.C. Batten's profile →
Citations per field
00.5×1.5×2.3×
Trevor F.C. Batten · 1×
Citations per year

Countries citing papers authored by D Fellmann

Since Specialization
Citations

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

Fields of papers citing papers by D Fellmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 156 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999167
2 1988153
3 1979125
4 1982100
5 198283
6 200178
7 199977
8 200475
9 197975
10 197769
11 198763
12 199961
13 197961
14 198756
15 199253
16 200850
17 199749
18 200046
19 197746
20 198446

About D Fellmann

D Fellmann is a scholar working on Endocrine and Autonomic Systems, Cellular and Molecular Neuroscience, Reproductive Medicine, Molecular Biology and Endocrinology, Diabetes and Metabolism, having authored 156 papers that have together received 3.5k indexed citations. Recurring topics across this work include Regulation of Appetite and Obesity (56 papers), Hypothalamic control of reproductive hormones (25 papers), Stress Responses and Cortisol (22 papers), Neuropeptides and Animal Physiology (21 papers), Biochemical Analysis and Sensing Techniques (19 papers), Sleep and Wakefulness Research (17 papers), Neuroendocrine regulation and behavior (16 papers) and Growth Hormone and Insulin-like Growth Factors (16 papers). The work is most often cited by research in Endocrine and Autonomic Systems (1.7k citations), Behavioral Neuroscience (483 citations), Reproductive Medicine (474 citations), Cellular and Molecular Neuroscience (946 citations) and Cognitive Neuroscience (784 citations). D Fellmann has collaborated with scholars based in France, United States and Germany. Frequent co-authors include C Bugnon, Pierre‐Yves Risold, Beŕnadette Griffond, Bertrand Bloch, A Gouget, J Cardot, D Lenys, Claude Jacquemard, Frédéric Brischoux and C. Colard. Their work appears in journals such as Brain Research, Cell and Tissue Research, Neuropeptides, The Journal of Comparative Neurology and Neuroscience.

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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