V. Kim

105.8k total citations
93 papers, 2.1k citations indexed

About

V. Kim is a scholar working on Pulmonary and Respiratory Medicine, Nuclear and High Energy Physics and Physiology. According to data from OpenAlex, V. Kim has authored 93 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Pulmonary and Respiratory Medicine, 31 papers in Nuclear and High Energy Physics and 15 papers in Physiology. Recurrent topics in V. Kim's work include Chronic Obstructive Pulmonary Disease (COPD) Research (40 papers), Particle physics theoretical and experimental studies (29 papers) and Quantum Chromodynamics and Particle Interactions (26 papers). V. Kim is often cited by papers focused on Chronic Obstructive Pulmonary Disease (COPD) Research (40 papers), Particle physics theoretical and experimental studies (29 papers) and Quantum Chromodynamics and Particle Interactions (26 papers). V. Kim collaborates with scholars based in United States, Russia and Spain. V. Kim's co-authors include Amir Sharafkhaneh, Nadia N. Hansel, Meredith C. McCormack, Nicola A. Hanania, Shawn D. Aaron, Grigorii B. Pivovarov, Gerard J. Criner, Robert A. Wise, Stanley J. Brodsky and A. L. Kataev and has published in prestigious journals such as Physical Review Letters, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

V. Kim

73 papers receiving 2.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
V. Kim United States 22 1.2k 541 328 200 142 93 2.1k
John Danziger United States 22 361 0.3× 101 0.2× 95 0.3× 86 0.4× 25 0.2× 64 1.8k
Ping‐Hung Kuo Taiwan 19 698 0.6× 240 0.4× 33 0.1× 12 0.1× 56 0.4× 87 1.3k
Germán Peces‐Barba Spain 24 1.1k 0.9× 658 1.2× 6 0.0× 58 0.3× 68 0.5× 92 1.8k
Michael Bernhard Germany 27 608 0.5× 174 0.3× 26 0.1× 8 0.0× 132 0.9× 187 2.7k
S. M. Scott United States 19 1.0k 0.8× 62 0.1× 153 0.5× 7 0.0× 23 0.2× 86 2.0k
Benjamin M. Smith United States 24 1.7k 1.4× 554 1.0× 3 0.0× 300 1.5× 78 0.5× 87 2.7k
John Hedley‐Whyte United States 27 1.1k 0.9× 147 0.3× 7 0.0× 34 0.2× 60 0.4× 131 2.4k
J.J. Kehayias United States 19 63 0.1× 1.4k 2.6× 128 0.4× 23 0.1× 7 0.0× 31 2.1k
Michaël Fayon France 27 1.8k 1.5× 606 1.1× 3 0.0× 21 0.1× 123 0.9× 159 3.1k
J. Brimacombe Australia 45 4.1k 3.3× 695 1.3× 108 0.3× 9 0.0× 43 0.3× 247 6.3k

Countries citing papers authored by V. Kim

Since Specialization
Citations

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

Fields of papers citing papers by V. Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of V. Kim

This figure shows the co-authorship network connecting the top 25 collaborators of V. Kim. A scholar is included among the top collaborators of V. Kim 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 V. Kim. V. Kim 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.
Krishnan, Jamuna K., Gerard J. Criner, Fernando J. Martínez, et al.. (2025). Disease Onset and Burden in Patients With Chronic Bronchitis and COPD: A Real-World Evidence Study. Chronic Obstructive Pulmonary Diseases Journal of the COPD Foundation. 12(2). 127–136. 1 indexed citations
2.
Zhang, Chaohai, et al.. (2024). Optimal design and operation of a wind farm/battery energy storage considering demand side management. IET Renewable Power Generation. 18(16). 3563–3573. 2 indexed citations
3.
Kim, V., et al.. (2024). An Analysis of Multilingual FActScore. 4309–4333. 1 indexed citations
4.
Zhang, Chaohai, et al.. (2023). Wind farm repowering optimization: a techno‐economic‐aesthetic approach. IET Renewable Power Generation. 17(8). 2137–2147. 5 indexed citations
5.
Krimsky, William, Robert E. Neal, & V. Kim. (2023). Airway Mucosal Remodeling: Mechanism of Action and Preclinical Data of Pulsed Electric Fields for Chronic Bronchitis and Mucus Hypersecretion. Respiration. 102(11). 948–960. 5 indexed citations
6.
Yohannes, Abebaw Mengistu, Martino Belvederi Murri, Nicola A. Hanania, et al.. (2022). Depressive and anxiety symptoms in patients with COPD: A network analysis. Respiratory Medicine. 198. 106865–106865. 36 indexed citations
7.
Regan, Elizabeth A., Barry J. Make, MeiLan K. Han, et al.. (2022). Clinical Markers Associated With Risk of Suicide or Drug Overdose Among Individuals With Smoking Exposure. CHEST Journal. 163(2). 292–302. 3 indexed citations
8.
Shin, Sun Hye, Sung Ok Kwon, V. Kim, et al.. (2022). Association of body mass index and COPD exacerbation among patients with chronic bronchitis. Respiratory Research. 23(1). 52–52. 16 indexed citations
9.
Lowe, Katherine, Barry J. Make, James D. Crapo, et al.. (2018). Association of low income with pulmonary disease progression in smokers with and without chronic obstructive pulmonary disease. ERJ Open Research. 4(4). 69–2018. 19 indexed citations
10.
Berdnikov, Y., et al.. (2016). MC generator HARDPING: Nuclear effects in hard interactions of leptons and hadrons with nuclei. AIP conference proceedings. 1701. 80005–80005.
11.
Washko, George R., Gregory L. Kinney, James C. Ross, et al.. (2016). Lung Mass in Smokers. Academic Radiology. 24(4). 386–392. 12 indexed citations
12.
Zhao, Huaqing, Megan Hardin, Craig P. Hersh, et al.. (2016). Analysis of Asthma–Chronic Obstructive Pulmonary Disease Overlap Syndrome Defined on the Basis of Bronchodilator Response and Degree of Emphysema. Annals of the American Thoracic Society. 13(9). 1483–1489. 35 indexed citations
13.
Kim, V., et al.. (2012). Weight Gain after Lung Reduction Surgery Is Related to Improved Lung Function and Ventilatory Efficiency. American Journal of Respiratory and Critical Care Medicine. 186(11). 1109–1116. 26 indexed citations
14.
Kim, V., MeiLan K Han, Gwendolyn B. Vance, et al.. (2011). The Chronic Bronchitic Phenotype of COPD. CHEST Journal. 140(3). 626–633. 224 indexed citations
15.
Kelsen, Steven G., Mark O. Aksoy, Rong Ji, et al.. (2009). Lymphoid Follicle Cells in Chronic Obstructive Pulmonary Disease Overexpress the Chemokine Receptor CXCR3. American Journal of Respiratory and Critical Care Medicine. 179(9). 799–805. 48 indexed citations
16.
Rosenthal, Lisa, V. Kim, & Deborah R. Kim. (2007). Weaning from prolonged mechanical ventilation using an antipsychotic agent in a patient with acute stress disorder. Critical Care Medicine. 35(10). 2417–2419. 8 indexed citations
17.
Kim, V. & John Spandorfer. (2001). EPIDEMIOLOGY OF VENOUS THROMBOEMBOLIC DISEASE. Emergency Medicine Clinics of North America. 19(4). 839–860. 57 indexed citations
18.
19.
Kim, V.. (1987). DIQUARKS AS A SOURCE OF LARGE P(T) BARYONS IN HARD NUCLEON COLLISIONS. Physics Letters B.
20.
Ефремов, А.В., et al.. (1986). Hard hadron-nucleus processes and multiquark configurations in nuclei. Sov. J. Nucl. Phys. (Engl. Transl.); (United States). 44. 151.

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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