Sucha Singh
Impact in
- Hepatology top 1%
- Liver physiology and pathology
- Cell Biology top 5%
- Hippo pathway signaling and YAP/TAZ
Papers in
-
- Wnt/β-catenin signaling in development and cancer 24
- Cancer-related gene regulation 9
- Hepatology 21
- Liver physiology and pathology 19
- Co-authors
- Satdarshan P. Monga (53 shared papers)Minakshi Poddar (31 shared papers)Kari Nejak‐Bowen (16 shared papers)Junyan Tao (15 shared papers)Udayan Apte (4 shared papers)Benjamin Cieply (2 shared papers)Morgan Preziosi (8 shared papers)Xin Chen (6 shared papers)
- Journals
- American Journal Of Pathology (15 papers)Hepatology (12 papers)Gastroenterology (4 papers)The FASEB Journal (4 papers)Hepatology Communications (4 papers)
- Partner nations
- United StatesChinaJapan
In The Last Decade
Sucha Singh
56 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 80
- Hepatology 803
- Cell Biology 299
- Molecular Biology 1.1k
- Cancer Research 209
- Epidemiology 435
Countries citing papers authored by Sucha Singh
This map shows the geographic impact of Sucha Singh'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 Sucha Singh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sucha Singh more than expected).
Fields of papers citing papers by Sucha Singh
This network shows the impact of papers produced by Sucha Singh. 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 Sucha Singh. The network helps show where Sucha Singh may publish in the future.
Co-authors
The 25 scholars most cited alongside Sucha Singh, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 57 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 228 | |
| 2 | 2009 | 138 | |
| 3 | 2010 | 125 | |
| 4 | 2018 | 112 | |
| 5 | 2018 | 106 | |
| 6 | 2007 | 105 | |
| 7 | 2016 | 96 | |
| 8 | 2010 | 81 | |
| 9 | 2018 | 73 | |
| 10 | 2016 | 68 | |
| 11 | 2022 | 68 | |
| 12 | 2013 | 59 | |
| 13 | 2013 | 56 | |
| 14 | 2022 | 56 | |
| 15 | 2018 | 52 | |
| 16 | 2015 | 49 | |
| 17 | 2017 | 46 | |
| 18 | 2022 | 46 | |
| 19 | 2017 | 44 | |
| 20 | 2021 | 41 |
About Sucha Singh
Sucha Singh is a scholar working on Molecular Biology, Hepatology, Surgery, Oncology and Cell Biology, having authored 57 papers that have together received 2.2k indexed citations. Recurring topics across this work include Wnt/β-catenin signaling in development and cancer (24 papers), Liver physiology and pathology (19 papers), Cancer-related gene regulation (9 papers), Hippo pathway signaling and YAP/TAZ (8 papers), Liver Disease Diagnosis and Treatment (6 papers), Cancer-related Molecular Pathways (5 papers), Drug Transport and Resistance Mechanisms (4 papers) and Pediatric Hepatobiliary Diseases and Treatments (4 papers). The work is most often cited by research in Hepatology (803 citations), Cell Biology (299 citations), Molecular Biology (1.1k citations), Cancer Research (209 citations) and Epidemiology (435 citations). Sucha Singh has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Satdarshan P. Monga, Minakshi Poddar, Kari Nejak‐Bowen, Junyan Tao, Udayan Apte, Benjamin Cieply, Morgan Preziosi, Xin Chen, Michael Oertel and Gang Zeng. Their work appears in journals such as American Journal Of Pathology, Hepatology, Gastroenterology, The FASEB Journal and Hepatology Communications.
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.