Matthew J. Will

59 papers receiving 3.2k citations

Matthew J. Will's Hit Papers

Corticostriatal-hypothalamic circuitry and food motivation: Integration of energy, action and reward 2005 · 591 citations
5910+7+14Years since publication100200300400500

Peers

Matthew J. Will
Comparison fields: 5 of 121
  • Endocrine and Autonomic Systems 1.1k
  • Behavioral Neuroscience 544
  • Cellular and Molecular Neuroscience 1.3k
  • Biological Psychiatry 164
  • Nutrition and Dietetics 633
Replace Robert M. Sears with:
Robert M. Sears United States
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Matthew J. Will relative to Robert M. Sears United States Robert M. Sears's profile →
Citations per field
00.5×2.6×
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Citations per year

Countries citing papers authored by Matthew J. Will

Since Specialization
Citations

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

Fields of papers citing papers by Matthew J. Will

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Matthew J. Will. 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 Matthew J. Will. The network helps show where Matthew J. Will may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 62 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Corticostriatal-hypothalamic circuitry and food motivation: Integration of energy, action and reward
Hit paper breakdown →
2005591
2 2002415
3 1999245
4 2003166
5 2003156
6 2000122
7 2003122
8 1998111
9 200492
10 201687
11 200586
12 200182
13 200669
14 201162
15 200753
16 200952
17 201243
18 201341
19 200441
20 201235

About Matthew J. Will

Matthew J. Will is a scholar working on Cellular and Molecular Neuroscience, Endocrine and Autonomic Systems, Molecular Biology, Physiology and Cognitive Neuroscience, having authored 62 papers that have together received 3.3k indexed citations. Recurring topics across this work include Regulation of Appetite and Obesity (19 papers), Neurotransmitter Receptor Influence on Behavior (17 papers), Receptor Mechanisms and Signaling (10 papers), Neuropeptides and Animal Physiology (10 papers), Stress Responses and Cortisol (9 papers), Biochemical Analysis and Sensing Techniques (7 papers), Adipose Tissue and Metabolism (7 papers) and Sleep and Wakefulness Research (7 papers). The work is most often cited by research in Endocrine and Autonomic Systems (1.1k citations), Behavioral Neuroscience (544 citations), Cellular and Molecular Neuroscience (1.3k citations), Biological Psychiatry (164 citations) and Nutrition and Dietetics (633 citations). Matthew J. Will has collaborated with scholars based in United States, Germany and South Korea. Frequent co-authors include Ann E. Kelley, Wayne E. Pratt, Brian A. Baldo, Teresa L. Steininger, Suzanne N. Haber, Vaishali P. Bakshi, Steven F. Maier, Linda R. Watkins, Sayamwong E. Hammack and Ruth E. Grahn. Their work appears in journals such as Behavioural Brain Research, Physiology & Behavior, Behavioral Neuroscience, Pharmacology Biochemistry and Behavior and Brain Research.

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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