Megha Subramanian

1.2k total citations
32 papers, 567 citations indexed

About

Megha Subramanian is a scholar working on Epidemiology, Molecular Biology and Hepatology. According to data from OpenAlex, Megha Subramanian has authored 32 papers receiving a total of 567 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Epidemiology, 9 papers in Molecular Biology and 9 papers in Hepatology. Recurrent topics in Megha Subramanian's work include Liver Disease Diagnosis and Treatment (8 papers), Liver Diseases and Immunity (5 papers) and Glioma Diagnosis and Treatment (3 papers). Megha Subramanian is often cited by papers focused on Liver Disease Diagnosis and Treatment (8 papers), Liver Diseases and Immunity (5 papers) and Glioma Diagnosis and Treatment (3 papers). Megha Subramanian collaborates with scholars based in United States, Germany and Japan. Megha Subramanian's co-authors include Daniel P. Cahill, Mollie K. Meffert, Dániel Pham, Hiroaki Wakimoto, Priscilla K. Brastianos, Joshua L. Schwartz, María Martínez-Lage, Stephen Schmidt, Franziska M. Ippen and Anita Giobbie‐Hurder and has published in prestigious journals such as Molecular Cell, Hepatology and Cancer.

In The Last Decade

Megha Subramanian

30 papers receiving 560 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Megha Subramanian 259 125 95 94 84 32 567
Yoichiro Kato 341 1.3× 128 1.0× 88 0.9× 55 0.6× 44 0.5× 47 792
Magdalena Maj 302 1.2× 103 0.8× 59 0.6× 30 0.3× 109 1.3× 40 648
Zheng Lü 339 1.3× 98 0.8× 21 0.2× 160 1.7× 64 0.8× 58 669
Adekunle M. Adesina 633 2.4× 76 0.6× 42 0.4× 53 0.6× 30 0.4× 12 808
Hanna Ławnicka 161 0.6× 119 1.0× 35 0.4× 74 0.8× 31 0.4× 53 600
Haiyan Fan 449 1.7× 48 0.4× 31 0.3× 142 1.5× 69 0.8× 36 822
Angela Romanelli 569 2.2× 181 1.4× 44 0.5× 70 0.7× 39 0.5× 44 912
Grzegorz T. Gurda 198 0.8× 132 1.1× 25 0.3× 76 0.8× 116 1.4× 36 536
Tao Yin 201 0.8× 153 1.2× 19 0.2× 46 0.5× 50 0.6× 41 689
Rachel Dakin 375 1.4× 51 0.4× 44 0.5× 206 2.2× 34 0.4× 17 751

Countries citing papers authored by Megha Subramanian

Since Specialization
Citations

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

Fields of papers citing papers by Megha Subramanian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Megha Subramanian

This figure shows the co-authorship network connecting the top 25 collaborators of Megha Subramanian. A scholar is included among the top collaborators of Megha Subramanian 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 Megha Subramanian. Megha Subramanian 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.
2.
Miller, Julie J., Alexandria L. Fink, Hiroaki Nagashima, et al.. (2020). Sirtuin activation targets IDH-mutant tumors. Neuro-Oncology. 23(1). 53–62. 19 indexed citations
3.
Nagashima, Hiroaki, Christine K. Lee, Kensuke Tateishi, et al.. (2020). Poly(ADP-ribose) Glycohydrolase Inhibition Sequesters NAD+ to Potentiate the Metabolic Lethality of Alkylating Chemotherapy in IDH-Mutant Tumor Cells. Cancer Discovery. 10(11). 1672–1689. 43 indexed citations
4.
Ippen, Franziska M., Christopher Alvarez‐Breckenridge, Benjamin M. Kuter, et al.. (2019). The Dual PI3K/mTOR Pathway Inhibitor GDC-0084 Achieves Antitumor Activity in PIK3CA -Mutant Breast Cancer Brain Metastases. Clinical Cancer Research. 25(11). 3374–3383. 61 indexed citations
5.
Juratli, Tareq A., Pamela S. Jones, Nancy Wang, et al.. (2019). Targeted treatment of papillary craniopharyngiomas harboring BRAF V600E mutations. Cancer. 125(17). 2910–2914. 66 indexed citations
6.
Anselmi, Laura, F. Holly Coleman, Megha Subramanian, et al.. (2018). Ingestion of subthreshold doses of environmental toxins induces ascending Parkinsonism in the rat. npj Parkinson s Disease. 4(1). 30–30. 51 indexed citations
7.
Rajendran, N, et al.. (2018). Anamnesis and Clinical Signs of Gastrointestinal Tract Obstruction in Cattle. 1 indexed citations
8.
Amen, Alexandra M., et al.. (2017). A Rapid Induction Mechanism for Lin28a in Trophic Responses. Molecular Cell. 65(3). 490–503.e7. 21 indexed citations
9.
Ratziu, Vlad, A. Sanyal, Holger Hinrichsen, et al.. (2017). Impact of weight reduction on serum markers and liver histology including progression to cirrhosis in patients with nonalcoholic steatohepatitis (NASH) and bridging fibrosis. Journal of Hepatology. 66(1). S594–S595. 3 indexed citations
10.
Harrison, S., Vlad Ratziu, Mitchell L. Shiffman, et al.. (2017). Impact of modest weight reduction on liver histology, portal pressure, and clinical events in patients with compensated cirrhosis due to nonalcoholic steatohepatitis. Journal of Hepatology. 66(1). S159–S160. 1 indexed citations
11.
French, Dorothy, Erik G. Huntzicker, Zachary Goodman, et al.. (2016). Hepatic expression of lysyl oxidase-like-2 ( LOXL2) in primary sclerosing cholangitis (PSC). Hepatology. 64. 3 indexed citations
12.
Bowlus, Christopher L., Kalpesh Patel, Indra Neil Guha, et al.. (2015). Validation of serum fibrosis marker panels in patients with primary sclerosing cholangitis (PSC) in a randomized trial of simtuzumab. Hepatology. 62. 2 indexed citations
13.
Subramanian, Megha, et al.. (2015). Characterizing autism spectrum disorders by key biochemical pathways. Frontiers in Neuroscience. 9. 313–313. 56 indexed citations
14.
Venkiteswaran, Kala, Matthew D. Puhl, Anand N. Rao, et al.. (2015). Transplantation of human retinal pigment epithelial cells in the nucleus accumbens of cocaine self-administering rats provides protection from seeking. Brain Research Bulletin. 123. 53–60. 1 indexed citations
15.
Jones, Matthew F., Megha Subramanian, Svetlana A. Shabalina, et al.. (2015). Growth differentiation factor-15 encodes a novel microRNA 3189 that functions as a potent regulator of cell death. Cell Death and Differentiation. 22(10). 1641–1653. 27 indexed citations
16.
Subramanian, Megha, P. Francis, Sven Bilke, et al.. (2014). A mutant p53/let-7i-axis-regulated gene network drives cell migration, invasion and metastasis. Oncogene. 34(9). 1094–1104. 70 indexed citations
17.
Washington, M. Kay, Edward Gane, Raul Aguilar Schall, et al.. (2014). P677 HEPATIC STEATOSIS DOES NOT PREDICT REGRESSION OF LIVER CIRRHOSIS IN CHRONIC HEPATITIS B (CHB) PATIENTS TREATED WITH TENOFOVIR DISOPROXIL FUMARATE (TDF). Journal of Hepatology. 60(1). S294–S295. 2 indexed citations
18.
Vijayakumar, G., et al.. (2008). Haematobiochemical Changes in Dogs With Hepatic Disorders. The Indian Veterinary Journal. 85(3). 341–342. 1 indexed citations
19.
Vijayakumar, G., et al.. (2004). Efficacy Of Silymarin As Hepatoprotectant in Oxytetracycline Induced Hepatic Disorder In Dogs. The Indian Veterinary Journal. 81(1). 37–39. 4 indexed citations
20.
Vijayakumar, G., et al.. (2004). Treatment Of Canine Hepatic Disorder with Sillymarln. The Indian Veterinary Journal. 81(8). 930–932. 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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