Seung Hahm

1.3k total citations
21 papers, 1.1k citations indexed

About

Seung Hahm is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Endocrine and Autonomic Systems. According to data from OpenAlex, Seung Hahm has authored 21 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 5 papers in Cellular and Molecular Neuroscience and 5 papers in Endocrine and Autonomic Systems. Recurrent topics in Seung Hahm's work include Photosynthetic Processes and Mechanisms (5 papers), Regulation of Appetite and Obesity (5 papers) and Electrochemical sensors and biosensors (5 papers). Seung Hahm is often cited by papers focused on Photosynthetic Processes and Mechanisms (5 papers), Regulation of Appetite and Obesity (5 papers) and Electrochemical sensors and biosensors (5 papers). Seung Hahm collaborates with scholars based in United States, France and Italy. Seung Hahm's co-authors include Bill Durham, Francis Millett, Stephen R. Salton, Lois Geren, Tooru M. Mizuno, Charles V. Mobbs, Eddine Saiah, Andrea Levi, Susan E. Snyder and Gian‐Luca Ferri and has published in prestigious journals such as Journal of the American Chemical Society, Journal of Biological Chemistry and Journal of Clinical Investigation.

In The Last Decade

Seung Hahm

21 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Seung Hahm United States 18 512 273 206 193 125 21 1.1k
I‐Li Chen Taiwan 21 445 0.9× 131 0.5× 137 0.7× 103 0.5× 49 0.4× 67 1.2k
Federica Dabbeni‐Sala Italy 19 1.2k 2.4× 157 0.6× 83 0.4× 153 0.8× 44 0.4× 42 1.5k
Terry D. Hexum United States 20 874 1.7× 648 2.4× 80 0.4× 298 1.5× 83 0.7× 51 1.4k
Rita Raddatz United States 18 1.0k 2.0× 885 3.2× 142 0.7× 179 0.9× 65 0.5× 42 1.7k
Jeffrey P. Whitten United States 21 918 1.8× 204 0.7× 53 0.3× 274 1.4× 27 0.2× 45 1.8k
Jack Peter Green United States 23 998 1.9× 547 2.0× 107 0.5× 198 1.0× 38 0.3× 74 1.9k
Iris Uribesalgo Spain 10 462 0.9× 165 0.6× 60 0.3× 335 1.7× 24 0.2× 10 974
Duk‐Su Koh United States 14 425 0.8× 233 0.9× 108 0.5× 66 0.3× 96 0.8× 21 805
Andrew W. Stamford United States 22 604 1.2× 245 0.9× 51 0.2× 171 0.9× 34 0.3× 51 1.5k
Daria Milani Italy 15 693 1.4× 499 1.8× 102 0.5× 132 0.7× 80 0.6× 18 1.1k

Countries citing papers authored by Seung Hahm

Since Specialization
Citations

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

Fields of papers citing papers by Seung Hahm

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Seung Hahm

This figure shows the co-authorship network connecting the top 25 collaborators of Seung Hahm. A scholar is included among the top collaborators of Seung Hahm 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 Seung Hahm. Seung Hahm 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.
St-Cyr, Sophie, et al.. (2022). Huntington’s disease phenotypes are improved via mTORC1 modulation by small molecule therapy. PLoS ONE. 17(8). e0273710–e0273710. 2 indexed citations
2.
KATO, T., Santosh Pothula, Rong-Jian Liu, et al.. (2019). Sestrin modulator NV-5138 produces rapid antidepressant effects via direct mTORC1 activation. Journal of Clinical Investigation. 129(6). 2542–2554. 62 indexed citations
3.
Kang, Seong A., David J. O’Neill, Shomit Sengupta, et al.. (2019). Discovery of Small-Molecule Selective mTORC1 Inhibitors via Direct Inhibition of Glucose Transporters. Cell chemical biology. 26(9). 1203–1213.e13. 33 indexed citations
4.
Sengupta, Shomit, Sridhar Narayan, Seung Hahm, et al.. (2019). Discovery of NV-5138, the first selective Brain mTORC1 activator. Scientific Reports. 9(1). 4107–4107. 47 indexed citations
5.
Perreault, Mylène, Feng Guo, Sarah Will, et al.. (2013). Activation of TrkB with TAM-163 Results in Opposite Effects on Body Weight in Rodents and Non-Human Primates. PLoS ONE. 8(5). e62616–e62616. 21 indexed citations
6.
Wan, Zhao‐Kui, Huan‐Qiu Li, Manus Ipek, et al.. (2012). Discovery of HSD-621 as a Potential Agent for the Treatment of Type 2 Diabetes. ACS Medicinal Chemistry Letters. 4(1). 118–123. 11 indexed citations
7.
8.
Cao, Jingsong, Yingjiang Zhou, Xinyi Huang, et al.. (2011). Targeting Acyl-CoA:Diacylglycerol Acyltransferase 1 (DGAT1) with Small Molecule Inhibitors for the Treatment of Metabolic Diseases. Journal of Biological Chemistry. 286(48). 41838–41851. 119 indexed citations
9.
Wan, Zhao‐Kui, Jason Xiang, Huan‐Qiu Li, et al.. (2009). Efficacious 11β-Hydroxysteroid Dehydrogenase Type I Inhibitors in the Diet-Induced Obesity Mouse Model. Journal of Medicinal Chemistry. 52(17). 5449–5461. 48 indexed citations
10.
Xiang, Jason, Zhao‐Kui Wan, Huan‐Qiu Li, et al.. (2008). Piperazine Sulfonamides as Potent, Selective, and Orally Available 11β-Hydroxysteroid Dehydrogenase Type 1 Inhibitors with Efficacy in the Rat Cortisone-Induced Hyperinsulinemia Model. Journal of Medicinal Chemistry. 51(14). 4068–4071. 26 indexed citations
11.
Watson, Elizabeth, Seung Hahm, Tooru M. Mizuno, et al.. (2005). VGF Ablation Blocks the Development of Hyperinsulinemia and Hyperglycemia in Several Mouse Models of Obesity. Endocrinology. 146(12). 5151–5163. 41 indexed citations
12.
13.
Salton, Stephen R., Gian‐Luca Ferri, Seung Hahm, et al.. (2000). VGF: A Novel Role for This Neuronal and Neuroendocrine Polypeptide in the Regulation of Energy Balance. Frontiers in Neuroendocrinology. 21(3). 199–219. 145 indexed citations
14.
Salton, Stephen R., Seung Hahm, & Tooru M. Mizuno. (2000). Of Mice and MEN. Neuron. 25(2). 265–268. 22 indexed citations
15.
Hahm, Seung, Tooru M. Mizuno, T. John Wu, et al.. (1999). Targeted Deletion of the Vgf Gene Indicates that the Encoded Secretory Peptide Precursor Plays a Novel Role in the Regulation of Energy Balance. Neuron. 23(3). 537–548. 186 indexed citations
16.
Liu, Rui‐Qin, Seung Hahm, Mark A. Miller, Bill Durham, & Francis Millett. (1995). Photooxidation of Trp-191 in cytochrome c peroxidase by ruthenium-cytochrome c derivatives. Biochemistry. 34(3). 973–983. 21 indexed citations
17.
Hahm, Seung, Mark A. Miller, Lois Geren, et al.. (1994). Reaction of Horse Cytochrome c with the Radical and the Oxyferryl Heme in Cytochrome c Peroxidase Compound I. Biochemistry. 33(6). 1473–1480. 27 indexed citations
18.
Miller, Mark A., Rui‐Qin Liu, Seung Hahm, et al.. (1994). Interaction Domain for the Reaction of Cytochrome c with the Radical and the Oxyferryl Heme in Cytochrome c Peroxidase Compound I. Biochemistry. 33(29). 8686–8693. 21 indexed citations
19.
20.
Geren, Lois, Seung Hahm, Bill Durham, & Francis Millett. (1991). Photoinduced electron transfer between cytochrome c peroxidase and yeast cytochrome c labeled at Cys 102 with (4-bromomethyl-4'-methylbipyridine)[bis(bipyridine)]ruthenium2+. Biochemistry. 30(39). 9450–9457. 88 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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