Kevin W. Williams

9.5k total citations · 1 hit paper
108 papers, 6.8k citations indexed

About

Kevin W. Williams is a scholar working on Endocrine and Autonomic Systems, Nutrition and Dietetics and Physiology. According to data from OpenAlex, Kevin W. Williams has authored 108 papers receiving a total of 6.8k indexed citations (citations by other indexed papers that have themselves been cited), including 62 papers in Endocrine and Autonomic Systems, 39 papers in Nutrition and Dietetics and 27 papers in Physiology. Recurrent topics in Kevin W. Williams's work include Regulation of Appetite and Obesity (60 papers), Biochemical Analysis and Sensing Techniques (39 papers) and Adipose Tissue and Metabolism (22 papers). Kevin W. Williams is often cited by papers focused on Regulation of Appetite and Obesity (60 papers), Biochemical Analysis and Sensing Techniques (39 papers) and Adipose Tissue and Metabolism (22 papers). Kevin W. Williams collaborates with scholars based in United States, China and United Kingdom. Kevin W. Williams's co-authors include Joel K. Elmquist, Charlotte E. Lee, Jong‐Woo Sohn, Michael M. Scott, Bradford B. Lowell, Jeffrey M. Zigman, Yong Xu, Carol F. Elias, Syann Lee and Bret N. Smith and has published in prestigious journals such as Nature, Cell and Journal of the American Chemical Society.

In The Last Decade

Kevin W. Williams

102 papers receiving 6.7k citations

Hit Papers

MC4R-dependent suppressio... 2017 2026 2020 2023 2017 100 200 300

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Kevin W. Williams United States 47 3.8k 2.3k 1.7k 1.3k 967 108 6.8k
Kevin L. Grove United States 48 2.7k 0.7× 2.6k 1.1× 1.3k 0.8× 1.9k 1.5× 922 1.0× 141 8.3k
Catherine B. Lawrence United Kingdom 40 2.7k 0.7× 1.6k 0.7× 1.6k 0.9× 1.2k 0.9× 761 0.8× 111 5.7k
Julia M. Keogh United Kingdom 37 5.2k 1.3× 3.6k 1.6× 2.9k 1.7× 1.8k 1.4× 1.8k 1.8× 67 9.3k
Christian Vaisse United States 35 4.0k 1.1× 2.8k 1.2× 2.5k 1.5× 2.2k 1.7× 1.5k 1.5× 61 8.6k
Joseph F. Kelly United States 27 2.7k 0.7× 1.7k 0.7× 1.4k 0.8× 683 0.5× 514 0.5× 83 5.5k
Giles S.H. Yeo United Kingdom 62 4.4k 1.1× 3.6k 1.6× 2.6k 1.5× 4.5k 3.5× 1.7k 1.7× 167 13.5k
Richard Ross United Kingdom 59 1.9k 0.5× 1.4k 0.6× 743 0.4× 2.8k 2.1× 1.2k 1.3× 313 12.0k
Horst L. Fehm Germany 48 2.3k 0.6× 1.6k 0.7× 563 0.3× 772 0.6× 313 0.3× 188 8.4k
Tatsuya Hayashi Japan 41 1.5k 0.4× 3.4k 1.5× 902 0.5× 3.9k 3.0× 1.1k 1.1× 191 8.2k
Sarah J. Spencer Australia 40 1.2k 0.3× 1.3k 0.6× 659 0.4× 554 0.4× 394 0.4× 122 5.1k

Countries citing papers authored by Kevin W. Williams

Since Specialization
Citations

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

Fields of papers citing papers by Kevin W. Williams

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kevin W. Williams. 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 Kevin W. Williams. The network helps show where Kevin W. Williams may publish in the future.

Co-authorship network of co-authors of Kevin W. Williams

This figure shows the co-authorship network connecting the top 25 collaborators of Kevin W. Williams. A scholar is included among the top collaborators of Kevin W. Williams based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Kevin W. Williams. Kevin W. Williams is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Miera, Cristina Sáenz de, Nicole Bellefontaine, Marina A. Silveira, et al.. (2025). Nutritionally Responsive PMv DAT Neurons Are Dynamically Regulated During Pubertal Transition. The FASEB Journal. 39(13). e70755–e70755. 1 indexed citations
2.
Hwang, Eun‐Sang, Ernie Yulyaningsih, Eirini Vagena, et al.. (2024). Identification of AgRP cells in the murine hindbrain that drive feeding. Molecular Metabolism. 80. 101886–101886. 6 indexed citations
4.
Hwang, Eun‐Sang, et al.. (2023). Exercise-induced hypothalamic neuroplasticity: Implications for energy and glucose metabolism. Molecular Metabolism. 73. 101745–101745. 16 indexed citations
5.
Hwang, Eun‐Sang, Jarrad M. Scarlett, Arian F. Baquero, et al.. (2022). Sustained inhibition of NPY/AgRP neuronal activity by FGF1. JCI Insight. 7(17). 12 indexed citations
6.
Quarta, Carmelo, Marc Claret, Lori M. Zeltser, et al.. (2021). POMC neuronal heterogeneity in energy balance and beyond: an integrated view. Nature Metabolism. 3(3). 299–308. 115 indexed citations
7.
Osborne‐Lawrence, Sherri, Juan A. Rodriguez, Zhenyan He, et al.. (2020). Metabolic insights from a GHSR-A203E mutant mouse model. Molecular Metabolism. 39. 101004–101004. 31 indexed citations
8.
Ratner, Cecilia, Zhenyan He, Kaare V. Grunddal, et al.. (2019). Long-Acting Neurotensin Synergizes With Liraglutide to Reverse Obesity Through a Melanocortin-Dependent Pathway. Diabetes. 68(6). 1329–1340. 35 indexed citations
9.
He, Zhenyan, Yong Gao, Amber L. Alhadeff, et al.. (2018). Cellular and synaptic reorganization of arcuate NPY/AgRP and POMC neurons after exercise. Molecular Metabolism. 18. 107–119. 68 indexed citations
10.
Huang, Yiru, Zhenyan He, Yong Gao, et al.. (2018). Phosphoinositide 3-Kinase Is Integral for the Acute Activity of Leptin and Insulin in Male Arcuate NPY/AgRP Neurons. Journal of the Endocrine Society. 2(6). 518–532. 26 indexed citations
11.
Sohn, Jong‐Woo, Youjin Oh, Ki Woo Kim, et al.. (2016). Leptin and insulin engage specific PI3K subunits in hypothalamic SF1 neurons. Molecular Metabolism. 5(8). 669–679. 38 indexed citations
12.
Berglund, Eric D., Tiemin Liu, Xingxing Kong, et al.. (2014). Melanocortin 4 receptors in autonomic neurons regulate thermogenesis and glycemia. Nature Neuroscience. 17(7). 911–913. 104 indexed citations
13.
Williams, Kevin W., Tiemin Liu, Xingxing Kong, et al.. (2014). Xbp1s in Pomc Neurons Connects ER Stress with Energy Balance and Glucose Homeostasis. Cell Metabolism. 20(3). 471–482. 212 indexed citations
14.
Berglund, Eric D., Chen Liu, Tiemin Liu, et al.. (2013). Serotonin 2C receptors in pro-opiomelanocortin neurons regulate energy and glucose homeostasis. Journal of Clinical Investigation. 123(12). 5061–5070. 168 indexed citations
15.
Heß, Simon, Bengt‐Frederik Belgardt, Lars Paeger, et al.. (2011). High-fat feeding promotes obesity via insulin receptor/PI3K-dependent inhibition of SF-1 VMH neurons. Nature Neuroscience. 14(7). 911–918. 186 indexed citations
16.
Williams, Kevin W.. (2011). A Human Factors Analysis of Fatal and Serious Injury Accidents in Alaska, 2004-2009. Rosa P: A digital library for transportation research (United States Department of Transportation). 1 indexed citations
17.
Xu, Yong, Juli E. Jones, Daisuke Kohno, et al.. (2008). 5-HT2CRs Expressed by Pro-Opiomelanocortin Neurons Regulate Energy Homeostasis. Neuron. 60(4). 582–589. 268 indexed citations
18.
Williams, Kevin W.. (2007). Unmanned Aircraft Pilot Medical Certification Requirements. Wiener klinische Wochenschrift. 59(40). 672–672. 1 indexed citations
19.
Williams, Kevin W.. (2004). A Summary of Unmanned Aircraft Accident/Incident Data: Human Factors Implications. Journal of Bioresource Management. 824. 129 indexed citations

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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