Megha Subramanian
- Co-authors
- Daniel P. CahillHiroaki WakimotoMollie K. MeffertDániel PhamPriscilla K. BrastianosJoshua L. SchwartzFranziska M. IppenStephen Schmidt
- Topics
- Liver Disease Diagnosis and Treatment (8 papers)Liver Diseases and Immunity (5 papers)Glioma Diagnosis and Treatment (3 papers)
- Cited by
- GeneticsHepatologyCancer Research
- Journals
- Molecular CellHepatologyCancer
- Partner nations
- United StatesGermanyJapan
In The Last Decade
Megha Subramanian
30 papers receiving 560 citations
Peers
Comparison fields: 5 of 91
- Molecular Biology 259
- Oncology 125
- Genetics 95
- Cancer Research 94
- Pulmonary and Respiratory Medicine 84
Countries citing papers authored by Megha Subramanian
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 10 | |
| 2 | 43 | |
| 3 | 19 | |
| 4 | 61 | |
| 5 | 66 | |
| 6 | 51 | |
| 7 | Anamnesis and Clinical Signs of Gastrointestinal Tract Obstruction in Cattle | 1 |
| 8 | 21 | |
| 9 | 3 | |
| 10 | 1 | |
| 11 | 1 | |
| 12 | Hepatic expression of lysyl oxidase-like-2 ( LOXL2) in primary sclerosing cholangitis (PSC) | 3 |
| 13 | 27 | |
| 14 | Validation of serum fibrosis marker panels in patients with primary sclerosing cholangitis (PSC) in a randomized trial of simtuzumab | 2 |
| 15 | 1 | |
| 16 | 56 | |
| 17 | 70 | |
| 18 | Haematobiochemical Changes in Dogs With Hepatic Disorders | 1 |
| 19 | Efficacy Of Silymarin As Hepatoprotectant in Oxytetracycline Induced Hepatic Disorder In Dogs | 4 |
| 20 | Treatment Of Canine Hepatic Disorder with Sillymarln | 2 |
About Megha Subramanian
Megha Subramanian is a scholar working on Hepatology, Epidemiology and Genetics, having authored 32 papers that have together received 567 indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (8 papers), Liver Diseases and Immunity (5 papers) and Glioma Diagnosis and Treatment (3 papers). The work is most often cited by research in Genetics (95 citations), Hepatology (51 citations) and Cancer Research (94 citations). Megha Subramanian has collaborated with scholars based in United States, Germany and Japan. Frequent co-authors include Daniel P. Cahill, Hiroaki Wakimoto, Mollie K. Meffert, Dániel Pham, Priscilla K. Brastianos, Joshua L. Schwartz, Franziska M. Ippen, Stephen Schmidt, Benjamin M. Kuter and Anita Giobbie‐Hurder. Their work appears in journals such as Molecular Cell, Hepatology and Cancer.
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.