Srinivas Gopala

1.9k total citations
69 papers, 1.5k citations indexed

About

Srinivas Gopala is a scholar working on Molecular Biology, Physiology and Epidemiology. According to data from OpenAlex, Srinivas Gopala has authored 69 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Molecular Biology, 15 papers in Physiology and 10 papers in Epidemiology. Recurrent topics in Srinivas Gopala's work include Bioactive Compounds and Antitumor Agents (7 papers), Osteoarthritis Treatment and Mechanisms (5 papers) and Autophagy in Disease and Therapy (5 papers). Srinivas Gopala is often cited by papers focused on Bioactive Compounds and Antitumor Agents (7 papers), Osteoarthritis Treatment and Mechanisms (5 papers) and Autophagy in Disease and Therapy (5 papers). Srinivas Gopala collaborates with scholars based in India, United States and Italy. Srinivas Gopala's co-authors include Priya Srinivas, Suboj Babykutty, Priya Suboj, P.S. Sarma, Meena Daivadanam, Biju Soman, Prashant Mathur, Ramachandran S. Vasan, GK Mini and Kavumpurathu Raman Thankappan and has published in prestigious journals such as SHILAP Revista de lepidopterología, Diabetes and The FASEB Journal.

In The Last Decade

Srinivas Gopala

63 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Srinivas Gopala India 21 572 204 158 158 157 69 1.5k
Meihua Jin China 23 835 1.5× 156 0.8× 228 1.4× 105 0.7× 104 0.7× 94 1.6k
David Hemingway United Kingdom 15 1.0k 1.8× 279 1.4× 107 0.7× 82 0.5× 184 1.2× 25 2.3k
Amit Joharapurkar India 23 489 0.9× 163 0.8× 146 0.9× 87 0.6× 242 1.5× 71 1.3k
Ammar C. Al‐Rikabi Saudi Arabia 20 291 0.5× 92 0.5× 101 0.6× 93 0.6× 97 0.6× 69 1.4k
Nobuo Watanabe Japan 21 550 1.0× 163 0.8× 102 0.6× 106 0.7× 127 0.8× 62 1.3k
Anna Hsu United States 25 1.4k 2.4× 487 2.4× 86 0.5× 137 0.9× 107 0.7× 46 2.5k
Wen-Chang Chang Taiwan 23 679 1.2× 150 0.7× 84 0.5× 89 0.6× 114 0.7× 47 1.7k
Umashanker Navik India 19 796 1.4× 192 0.9× 149 0.9× 97 0.6× 127 0.8× 48 2.0k
Nadia Calabriso Italy 24 448 0.8× 137 0.7× 100 0.6× 129 0.8× 202 1.3× 55 1.7k

Countries citing papers authored by Srinivas Gopala

Since Specialization
Citations

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

Fields of papers citing papers by Srinivas Gopala

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Srinivas Gopala

This figure shows the co-authorship network connecting the top 25 collaborators of Srinivas Gopala. A scholar is included among the top collaborators of Srinivas Gopala 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 Srinivas Gopala. Srinivas Gopala 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.
Raghavan, Cibin T., et al.. (2024). An improved Glucocerebrosidase Assay for Accurate Prediction of Lysosomal Dysfunction: Exemplified by Its Relevance in Parkinson’s Disease. Indian Journal of Clinical Biochemistry. 41(2). 221–230.
2.
Krishnan, Syam, et al.. (2024). Exosomal microRNAs in Parkinson’s disease: insights into biomarker potential and disease pathology. Neurological Sciences. 45(8). 3625–3639. 6 indexed citations
3.
Chandran, Vineesh Indira, et al.. (2024). Extracellular vesicles in glioblastoma: a challenge and an opportunity. npj Precision Oncology. 8(1). 103–103. 15 indexed citations
4.
Vasu, Mahesh Mundalil, Sanjay Ganapathi, Panniyammakal Jeemon, et al.. (2024). Identification of novel endogenous control miRNAs in heart failure for normalization of qPCR data. International Journal of Biological Macromolecules. 261(Pt 2). 129714–129714. 3 indexed citations
5.
Manjunatha, S, et al.. (2023). Impairment of substrate-mediated mitochondrial respiration in cardiac cells by chloroquine. Molecular and Cellular Biochemistry. 479(2). 373–382.
6.
Karunakaran, Jayakumar, et al.. (2023). Diminished LC3 expression with unchanged Beclin 1 levels in right atrial appendage tissue of diabetic patients undergoing coronary artery bypass graft. SHILAP Revista de lepidopterología. 60. 30–33. 1 indexed citations
7.
Gopala, Srinivas, et al.. (2022). Albumin binds to uncoupler CCCP to diminish depolarization of mitochondria. Toxicology in Vitro. 80. 105325–105325. 10 indexed citations
8.
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
9.
Menon, Ramshekhar N., et al.. (2021). SHARPIN: Role in Finding NEMO and in Amyloid-Beta Clearance and Degradation (ABCD) Pathway in Alzheimer’s Disease?. Cellular and Molecular Neurobiology. 42(5). 1267–1281. 8 indexed citations
10.
Gopala, Srinivas, et al.. (2021). Quality of life among food delivery workers in southern Chennai: A cross sectional survey. International Journal of Applied Research. 7(1). 12–13.
11.
Nadhan, Revathy, et al.. (2020). Perspectives on mechanistic implications of ROS inducers for targeting viral infections. European Journal of Pharmacology. 890. 173621–173621. 19 indexed citations
12.
Bharathan, Balamurali, et al.. (2020). MutT Homolog1 has multifaceted role in glioma and is under the apparent orchestration by Hypoxia Inducible factor1 alpha. Life Sciences. 264. 118673–118673. 6 indexed citations
13.
Gopala, Srinivas, et al.. (2019). Current status of tobacco in India: a preventable cause of death. 5(1).
14.
Verghese, Joe, et al.. (2015). Progranulin mutation analysis: Identification of one novel mutation in exon 12 associated with frontotemporal dementia. Neurobiology of Aging. 39. 218.e1–218.e3. 10 indexed citations
15.
Zabielski, Piotr, Agnieszka Błachnio‐Zabielska, Ian R. Lanza, et al.. (2013). Impact of insulin deprivation and treatment on sphingolipid distribution in different muscle subcellular compartments of streptozotocin-diabetic C57Bl/6 mice. American Journal of Physiology-Endocrinology and Metabolism. 306(5). E529–E542. 24 indexed citations
16.
Babykutty, Suboj, et al.. (2010). Apoptosis induction of <i>Centella asiatica</i> on human breast cancer cells. African Journal of Traditional Complementary and Alternative Medicines. 6(1). 9–16. 41 indexed citations
17.
18.
Gopala, Srinivas, et al.. (2000). Mutant p53 protein, Bcl-2/Bax ratios and apoptosis in paediatric acute lymphoblastic leukaemia. Journal of Cancer Research and Clinical Oncology. 126(1). 62–67. 25 indexed citations
19.
20.
Benzakoun, Joseph, et al.. (1997). MANAGEMENT OF PERTHES DISEASE OF LATE ONSET IN SOUTHERN INDIA. THE EVALUATION OF A SURGICAL METHOD. Journal of Pediatric Orthopaedics. 17(1). 132–132. 2 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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