Tal Soo Ha

2.4k total citations · 1 hit paper
23 papers, 1.9k citations indexed

About

Tal Soo Ha is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Genetics. According to data from OpenAlex, Tal Soo Ha has authored 23 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Cellular and Molecular Neuroscience, 9 papers in Molecular Biology and 7 papers in Genetics. Recurrent topics in Tal Soo Ha's work include Neurobiology and Insect Physiology Research (11 papers), Ion channel regulation and function (9 papers) and Insect and Arachnid Ecology and Behavior (7 papers). Tal Soo Ha is often cited by papers focused on Neurobiology and Insect Physiology Research (11 papers), Ion channel regulation and function (9 papers) and Insect and Arachnid Ecology and Behavior (7 papers). Tal Soo Ha collaborates with scholars based in South Korea, United States and Germany. Tal Soo Ha's co-authors include Dean P. Smith, John D. Laughlin, David N. M. Jones, Xin Jin, Seung-Yeol Nah, Kyun Ha Kim, Eun‐Jung Park, Myungsoo Joo, Jinhong Wie and Byung Joo Kim and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Journal of Neuroscience.

In The Last Decade

Tal Soo Ha

21 papers receiving 1.8k citations

Hit Papers

Characteristics of Gintonin-Mediated Membrane Depolarizat... 2014 2026 2018 2022 2014 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tal Soo Ha South Korea 15 1.1k 752 579 528 274 23 1.9k
Alan S. Kopin United States 30 1.5k 1.3× 1.4k 1.8× 141 0.2× 330 0.6× 56 0.2× 70 3.2k
Maurizio Pellegrino United States 19 1.4k 1.2× 535 0.7× 901 1.6× 621 1.2× 641 2.3× 27 3.1k
Matthew DeGennaro United States 18 965 0.9× 1.0k 1.4× 665 1.1× 421 0.8× 84 0.3× 40 2.4k
Michael Rützler Denmark 21 744 0.7× 709 0.9× 526 0.9× 414 0.8× 126 0.5× 31 1.6k
Jerod S. Denton United States 27 634 0.6× 1.5k 2.1× 315 0.5× 105 0.2× 117 0.4× 95 2.5k
Yonghua Ji China 26 457 0.4× 1.4k 1.9× 122 0.2× 735 1.4× 129 0.5× 140 2.1k
Jianjun Wang China 19 428 0.4× 1.3k 1.7× 537 0.9× 120 0.2× 95 0.3× 96 1.9k
Edward W. McBride United States 14 1.0k 0.9× 758 1.0× 95 0.2× 173 0.3× 12 0.0× 19 1.6k
Noelle D. Dwyer United States 18 618 0.6× 1.8k 2.4× 95 0.2× 518 1.0× 261 1.0× 24 2.9k

Countries citing papers authored by Tal Soo Ha

Since Specialization
Citations

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

Fields of papers citing papers by Tal Soo Ha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tal Soo Ha. 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 Tal Soo Ha. The network helps show where Tal Soo Ha may publish in the future.

Co-authorship network of co-authors of Tal Soo Ha

This figure shows the co-authorship network connecting the top 25 collaborators of Tal Soo Ha. A scholar is included among the top collaborators of Tal Soo Ha 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 Tal Soo Ha. Tal Soo Ha 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
3.
Cho, Sunja, et al.. (2020). Bacterial- and Archaeal Communities in Variously Environmental Conditioned Basins of Several Wastewater Treatment Plants. The Journal of the Korea Contents Association. 20(8). 674–684. 1 indexed citations
4.
Song, No‐Joon, Dong Ho Lee, Min‐Ju Seo, et al.. (2018). Oxyresveratrol Increases Energy Expenditure through Foxo3a-Mediated Ucp1 Induction in High-Fat-Diet-Induced Obese Mice. International Journal of Molecular Sciences. 20(1). 26–26. 30 indexed citations
5.
Choi, Sun-Hye, Byunghwan Lee, Hyeon‐Joong Kim, et al.. (2014). Ginseng Gintonin Activates the Human Cardiac Delayed Rectifier K+ Channel: Involvement of Ca2+/Calmodulin Binding Sites. Molecules and Cells. 37(9). 656–663. 17 indexed citations
6.
Kim, Byung Joo, Joo‐Hyun Nam, Kyun Ha Kim, et al.. (2014). Characteristics of Gintonin-Mediated Membrane Depolarization of Pacemaker Activity in Cultured Interstitial Cells of Cajal. Cellular Physiology and Biochemistry. 34(3). 873–890. 621 indexed citations breakdown →
7.
Ha, Tal Soo, Ruohan Xia, Hai‐Ying Zhang, Xin Jin, & Dean P. Smith. (2014). Lipid flippase modulates olfactory receptor expression and odorant sensitivity in Drosophila. Proceedings of the National Academy of Sciences. 111(21). 7831–7836. 20 indexed citations
8.
Li, Qingyun, Tal Soo Ha, Yiping Wang, et al.. (2013). Combinatorial Rules of Precursor Specification Underlying Olfactory Neuron Diversity. Current Biology. 23(24). 2481–2490. 23 indexed citations
9.
Choi, Sun-Hye, Tae‐Joon Shin, Byunghwan Lee, et al.. (2010). Ginsenoside Rg3 Enhances Large Conductance Ca2+-Activated Potassium Channel Currents: A Role of Tyr360 Residue. Molecules and Cells. 31(2). 133–140. 14 indexed citations
10.
Ha, Tal Soo. (2009). Odorant and pheromone receptors in insects. Frontiers in Cellular Neuroscience. 3. 10–10. 48 indexed citations
11.
Ha, Tal Soo & Dean P. Smith. (2008). Insect Odorant Receptors: Channeling Scent. Cell. 133(5). 761–763. 13 indexed citations
12.
Laughlin, John D., Tal Soo Ha, David N. M. Jones, & Dean P. Smith. (2008). Activation of Pheromone-Sensitive Neurons Is Mediated by Conformational Activation of Pheromone-Binding Protein. Cell. 133(7). 1255–1265. 375 indexed citations
13.
Jin, Xin, Tal Soo Ha, & Dean P. Smith. (2008). SNMP is a signaling component required for pheromone sensitivity in Drosophila. Proceedings of the National Academy of Sciences. 105(31). 10996–11001. 252 indexed citations
14.
Ha, Tal Soo & Dean P. Smith. (2006). A Pheromone Receptor Mediates 11-cis-Vaccenyl Acetate-Induced Responses inDrosophila. Journal of Neuroscience. 26(34). 8727–8733. 201 indexed citations
15.
Ha, Tal Soo, Hyun–Ho Lim, Ga Eun Lee, Yong‐Chul Kim, & Chul‐Seung Park. (2005). Electrophysiological Characterization of Benzofuroindole-Induced Potentiation of Large-Conductance Ca2+-Activated K+ Channels. Molecular Pharmacology. 69(3). 1007–1014. 19 indexed citations
16.
Ha, Tal Soo, Isak Im, Kwan‐Young Jung, et al.. (2005). Benzofuroindole Analogues as Potent BKCa Channel Openers. ChemBioChem. 6(10). 1745–1748. 30 indexed citations
17.
Ha, Tal Soo, et al.. (2004). Functional Effects of Auxiliary β4-Subunit on Rat Large-Conductance Ca2+-Activated K+ Channel. Biophysical Journal. 86(5). 2871–2882. 60 indexed citations
18.
Ha, Tal Soo, et al.. (2002). Binding symmetry of extracellular divalent cations to conduction pore studied using tandem dimers of a CNG channel. Biochemical and Biophysical Research Communications. 298(4). 478–485. 1 indexed citations
19.
Chung, Sungkwon, et al.. (2002). Glutathione potentiates cloned rat brain large conductance Ca2+-activated K+ channels (rSlo). Neuroscience Letters. 318(1). 9–12. 2 indexed citations
20.
Ha, Tal Soo, et al.. (2000). Functional characteristics of two BKCa channel variants differentially expressed in rat brain tissues. European Journal of Biochemistry. 267(3). 910–918. 65 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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