Nathan C. Bingham

1.9k total citations
16 papers, 1.3k citations indexed

About

Nathan C. Bingham is a scholar working on Molecular Biology, Genetics and Endocrine and Autonomic Systems. According to data from OpenAlex, Nathan C. Bingham has authored 16 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 8 papers in Genetics and 5 papers in Endocrine and Autonomic Systems. Recurrent topics in Nathan C. Bingham's work include Regulation of Appetite and Obesity (5 papers), Sexual Differentiation and Disorders (4 papers) and Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (4 papers). Nathan C. Bingham is often cited by papers focused on Regulation of Appetite and Obesity (5 papers), Sexual Differentiation and Disorders (4 papers) and Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (4 papers). Nathan C. Bingham collaborates with scholars based in United States, Netherlands and Germany. Nathan C. Bingham's co-authors include Keith L. Parker, Nancy R. Stallings, Kimberly K. Anderson, Sunita Verma‐Kurvari, Luis F. Parada, Robin Lovell‐Badge, Yuna Kim, Blanche Capel, Ryohei Sekido and Yong Li and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Molecular Cell and Development.

In The Last Decade

Nathan C. Bingham

16 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nathan C. Bingham United States 14 720 614 221 205 188 16 1.3k
Anders Heding Denmark 19 667 0.9× 156 0.3× 128 0.6× 297 1.4× 101 0.5× 30 1.1k
Richard A. Maki United States 14 293 0.4× 101 0.2× 216 1.0× 201 1.0× 60 0.3× 16 969
Rami Rauch United States 15 392 0.5× 124 0.2× 707 3.2× 101 0.5× 175 0.9× 23 1.5k
Fabrice Vandeput United States 16 1.3k 1.7× 246 0.4× 219 1.0× 1.1k 5.2× 48 0.3× 21 1.9k
Paul Roos Sweden 19 269 0.4× 173 0.3× 103 0.5× 238 1.2× 68 0.4× 46 1.2k
D. Dondi Italy 22 437 0.6× 402 0.7× 119 0.5× 469 2.3× 21 0.1× 52 1.4k
Savita Dhanvantari Canada 21 489 0.7× 179 0.3× 265 1.2× 29 0.1× 502 2.7× 52 1.5k
Frédéric Jean‐Alphonse United States 20 875 1.2× 96 0.2× 94 0.4× 65 0.3× 93 0.5× 32 1.1k
Lisa Selbie Australia 17 1.3k 1.9× 99 0.2× 215 1.0× 90 0.4× 199 1.1× 33 2.3k
D. H. Coy United States 25 777 1.1× 89 0.1× 227 1.0× 241 1.2× 326 1.7× 57 1.8k

Countries citing papers authored by Nathan C. Bingham

Since Specialization
Citations

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

Fields of papers citing papers by Nathan C. Bingham

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nathan C. Bingham. 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 Nathan C. Bingham. The network helps show where Nathan C. Bingham may publish in the future.

Co-authorship network of co-authors of Nathan C. Bingham

This figure shows the co-authorship network connecting the top 25 collaborators of Nathan C. Bingham. A scholar is included among the top collaborators of Nathan C. Bingham 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 Nathan C. Bingham. Nathan C. Bingham is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

16 of 16 papers shown
1.
Çakır, Işın, Rebecca J. Bluett, Ken Mackie, et al.. (2021). Endogenous cannabinoids are required for MC4R-mediated control of energy homeostasis. Proceedings of the National Academy of Sciences. 118(42). 11 indexed citations
2.
Duis, Jessica, Pieter Joost van Wattum, Ann Scheimann, et al.. (2019). A multidisciplinary approach to the clinical management of Prader–Willi syndrome. Molecular Genetics & Genomic Medicine. 7(3). e514–e514. 55 indexed citations
3.
Herrick, Mary K., et al.. (2018). Attenuation of diet-induced hypothalamic inflammation following bariatric surgery in female mice. Molecular Medicine. 24(1). 56–56. 18 indexed citations
4.
Rose, Susan R., et al.. (2018). Hypothalamic Obesity: 4 Years of the International Registry of Hypothalamic Obesity Disorders. Obesity. 26(11). 1727–1732. 21 indexed citations
5.
Bingham, Nathan C., Susan R. Rose, & Thomas H. Inge. (2012). Bariatric Surgery in Hypothalamic Obesity. Frontiers in Endocrinology. 3. 23–23. 21 indexed citations
6.
Yi, Chun‐Xia, Martin Gericke, Martin Krüger, et al.. (2012). High calorie diet triggers hypothalamic angiopathy. Molecular Metabolism. 1(1-2). 95–100. 54 indexed citations
7.
Barsoum, Ivraym B., Nathan C. Bingham, Keith L. Parker, Joan S. Jorgensen, & Humphrey Hung‐Chang Yao. (2009). Activation of the Hedgehog pathway in the mouse fetal ovary leads to ectopic appearance of fetal Leydig cells and female pseudohermaphroditism. Developmental Biology. 329(1). 96–103. 75 indexed citations
8.
Bingham, Nathan C., et al.. (2008). Selective Loss of Leptin Receptors in the Ventromedial Hypothalamic Nucleus Results in Increased Adiposity and a Metabolic Syndrome. Endocrinology. 149(5). 2138–2148. 176 indexed citations
9.
Kim, Alex C., Mohamad Zubair, Tobias Else, et al.. (2008). Targeted disruption of β-catenin in Sf1-expressing cells impairs development and maintenance of the adrenal cortex. Development. 135(15). 2593–2602. 150 indexed citations
10.
Goji, Katsumi, et al.. (2007). A novel mutation in the accessory DNA-binding domain of human steroidogenic factor 1 causes XY gonadal dysgenesis without adrenal insufficiency. European Journal of Endocrinology. 157(2). 233–238. 40 indexed citations
11.
Kim, Yuna, Nathan C. Bingham, Ryohei Sekido, et al.. (2007). Fibroblast growth factor receptor 2 regulates proliferation and Sertoli differentiation during male sex determination. Proceedings of the National Academy of Sciences. 104(42). 16558–16563. 142 indexed citations
12.
Bingham, Nathan C., Sunita Verma‐Kurvari, Luis F. Parada, & Keith L. Parker. (2006). Development of a steroidogenic factor 1/Cre transgenic mouse line. genesis. 44(9). 419–424. 137 indexed citations
13.
Li, Yong, Mihwa Choi, Amanda Kovach, et al.. (2005). Crystallographic Identification and Functional Characterization of Phospholipids as Ligands for the Orphan Nuclear Receptor Steroidogenic Factor-1. Molecular Cell. 17(4). 491–502. 185 indexed citations
14.
Domenice, Sorahia, Nathan C. Bingham, Ana Elisa C. Billerbeck, et al.. (2004). A Microdeletion in the Ligand Binding Domain of Human Steroidogenic Factor 1 Causes XY Sex Reversal without Adrenal Insufficiency. The Journal of Clinical Endocrinology & Metabolism. 89(4). 1767–1772. 106 indexed citations
15.
Bingham, Nathan C., et al.. (2003). Molecular dynamics simulations of Trp side‐chain conformational flexibility in the gramicidin A channel. Biopolymers. 71(5). 593–600. 12 indexed citations
16.
Busath, David D., Craig D. Thulin, Lawrence R. Phillips, et al.. (1998). Noncontact Dipole Effects on Channel Permeation. I. Experiments with (5F-Indole)Trp13 Gramicidin A Channels. Biophysical Journal. 75(6). 2830–2844. 103 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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