Soumya Krishnamoorthy

567 total citations
20 papers, 470 citations indexed

About

Soumya Krishnamoorthy is a scholar working on Epidemiology, Molecular Biology and Surgery. According to data from OpenAlex, Soumya Krishnamoorthy has authored 20 papers receiving a total of 470 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Epidemiology, 5 papers in Molecular Biology and 4 papers in Surgery. Recurrent topics in Soumya Krishnamoorthy's work include Acute Ischemic Stroke Management (6 papers), ZnO doping and properties (4 papers) and Acoustic Wave Resonator Technologies (3 papers). Soumya Krishnamoorthy is often cited by papers focused on Acute Ischemic Stroke Management (6 papers), ZnO doping and properties (4 papers) and Acoustic Wave Resonator Technologies (3 papers). Soumya Krishnamoorthy collaborates with scholars based in India, United States and Greece. Soumya Krishnamoorthy's co-authors include Agis A. Iliadis, George P. Chrousos, T. Venkatesan, Supab Choopun, R. D. Vispute, Emmanouil Zoumakis, PN Sylaja, Roopa Rajan, Moinak Banerjee and Asha Kishore and has published in prestigious journals such as Journal of Clinical Oncology, Neurology and Journal of Hepatology.

In The Last Decade

Soumya Krishnamoorthy

19 papers receiving 460 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Soumya Krishnamoorthy India 10 197 158 103 99 72 20 470
Licheng Jiang China 18 122 0.6× 148 0.9× 105 1.0× 151 1.5× 23 0.3× 35 619
Hideo Okada Japan 12 78 0.4× 69 0.4× 76 0.7× 67 0.7× 22 0.3× 51 506
Shaohong Qian China 13 77 0.4× 50 0.3× 68 0.7× 74 0.7× 34 0.5× 28 542
Hwan-Seok Jeong South Korea 16 288 1.5× 393 2.5× 201 2.0× 90 0.9× 43 0.6× 41 683
Lei Shen China 15 189 1.0× 91 0.6× 136 1.3× 51 0.5× 78 1.1× 43 593
Xiaoshan Zhu United States 17 463 2.4× 398 2.5× 188 1.8× 205 2.1× 117 1.6× 54 908
Mei‐Ching Lee Taiwan 13 58 0.3× 149 0.9× 136 1.3× 142 1.4× 20 0.3× 27 1.0k
Yujing Song United States 12 78 0.4× 80 0.5× 287 2.8× 223 2.3× 28 0.4× 31 575
Irene Morales Spain 14 94 0.5× 38 0.2× 156 1.5× 36 0.4× 57 0.8× 42 451
Huanbin Li China 13 129 0.7× 212 1.3× 42 0.4× 16 0.2× 19 0.3× 23 427

Countries citing papers authored by Soumya Krishnamoorthy

Since Specialization
Citations

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

Fields of papers citing papers by Soumya Krishnamoorthy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Soumya Krishnamoorthy

This figure shows the co-authorship network connecting the top 25 collaborators of Soumya Krishnamoorthy. A scholar is included among the top collaborators of Soumya Krishnamoorthy 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 Soumya Krishnamoorthy. Soumya Krishnamoorthy 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.
Krishnamoorthy, Soumya, et al.. (2025). Multiple facets of HDLs as modifiable risk factors in stroke—the good, the bad, and the ugly. Journal of Lipid Research. 66(9). 100879–100879.
2.
Krishnamoorthy, Soumya, et al.. (2023). Soluble ST2 Predicts Poor Functional Outcome in Acute Ischemic Stroke Patients. Cerebrovascular Diseases Extra. 13(1). 33–40. 5 indexed citations
3.
Krishnamoorthy, Soumya, PN Sylaja, Sapna Erat Sreedharan, et al.. (2022). Biomarkers predict hemorrhagic transformation and stroke severity after acute ischemic stroke. Journal of Stroke and Cerebrovascular Diseases. 32(1). 106875–106875. 8 indexed citations
4.
Krishnamoorthy, Soumya, et al.. (2022). Increased high‑density lipoprotein‑oxidant index in ischemic stroke patients. Biomedical Reports. 17(5). 87–87. 4 indexed citations
5.
Krishnamoorthy, Soumya, Gurpreet Singh, Biju Soman, et al.. (2021). Biomarkers in the Prediction of Hemorrhagic Transformation in Acute Stroke: A Systematic Review and Meta-Analysis. Cerebrovascular Diseases. 51(2). 235–247. 25 indexed citations
6.
Krishnamoorthy, Soumya, et al.. (2020). Apolipoproteins B and A1 in Ischemic Stroke Subtypes. Journal of Stroke and Cerebrovascular Diseases. 29(4). 104670–104670. 12 indexed citations
7.
8.
Sanyal, A., Edgar D. Charles, Brent A. Neuschwander‐Tetri, et al.. (2017). BMS-986036 (pegylated FGF21) in patients with non-alcoholic steatohepatitis: a phase 2 study. Journal of Hepatology. 66(1). S89–S90. 27 indexed citations
9.
Krishnamoorthy, Soumya, Roopa Rajan, Moinak Banerjee, et al.. (2016). Dopamine D3 receptor Ser9Gly variant is associated with impulse control disorders in Parkinson’s disease patients. Parkinsonism & Related Disorders. 30. 13–17. 49 indexed citations
10.
11.
Lamb, Lynne, Kristin Kaley, Scott Bussom, et al.. (2010). Phase II study of PHY906 plus capecitabine (CAP) in pts with gemcitabine-refractory pancreatic cancer (PC) and measurement of cytokines.. Journal of Clinical Oncology. 28(15_suppl). e14540–e14540. 4 indexed citations
12.
Chandy, Sunil Thomas, et al.. (2010). Association of methylenetetrahydrofolate reductase gene polymorphisms & colorectal cancer in India.. PubMed. 131. 659–64. 20 indexed citations
13.
Krishnamoorthy, Soumya, et al.. (2008). An interleukin-6 ZnO/SiO2/Si surface acoustic wave biosensor. Biosensors and Bioelectronics. 24(2). 313–318. 72 indexed citations
14.
Krishnamoorthy, Soumya & Agis A. Iliadis. (2008). Properties of high sensitivity ZnO surface acoustic wave sensors on SiO2/(100) Si substrates. Solid-State Electronics. 52(11). 1710–1716. 68 indexed citations
15.
Pandis, C., L. Bourithis, D. Tsamakis, et al.. (2007). Low–Temperature Hydrogen Sensors Based on Au Nanoclusters and Schottky Contacts on ZnO Films Deposited by Pulsed Laser Deposition on Si and ${\hbox{SiO}}_{2}$ Substrates. IEEE Sensors Journal. 7(3). 448–454. 33 indexed citations
16.
Krishnamoorthy, Soumya, et al.. (2006). Morphological and binding properties of interleukin-6 on thin ZnO films grown on (1 0 0) silicon substrates for biosensor applications. Biosensors and Bioelectronics. 22(5). 707–714. 38 indexed citations
17.
Krishnamoorthy, Soumya. (2003). Human exposure to extremely-low and very-low frequency magnetic fields in living and working environments. 128. 264–270. 1 indexed citations
18.
Krishnamoorthy, Soumya, et al.. (2002). Observation of resonant tunneling action in ZnO/Zn0.8Mg0.2O devices. Solid-State Electronics. 46(10). 1633–1637. 98 indexed citations
19.
Krishnamoorthy, Soumya, et al.. (2002). Structural, optical, and electrical characterization of ZnO/Zn 0.8 Mg 0.2 O quantum wells for UV applications. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 4650. 67–67. 2 indexed citations
20.
Krishnamoorthy, Soumya, et al.. (1987). Crush syndrome following sedative-hypnotic overdosage.. PubMed. 28(6). 562–5. 1 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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