Ningling Kang
Impact in
- Hepatology top 2%
- Liver physiology and pathology
- Cell Biology top 5%
- Cellular Mechanics and Interactions
- Hippo pathway signaling and YAP/TAZ
Papers in
-
- Wnt/β-catenin signaling in development and cancer 5
- TGF-β signaling in diseases 4
- Fibroblast Growth Factor Research 3
- Hepatology 13
- Liver physiology and pathology 13
- Co-authors
- Vijay H. Shah (19 shared papers)Gregory J. Gores (1 shared paper)Yuanguo Wang (11 shared papers)Kangsheng Tu (6 shared papers)Raúl Urrutia (3 shared papers)Sheng Cao (4 shared papers)Edward B. Leof (2 shared papers)Zhikui Liu (3 shared papers)
- Journals
- Hepatology (6 papers)Gastroenterology (3 papers)American Journal Of Pathology (2 papers)Cellular and Molecular Gastroenterology and Hepatology (2 papers)Journal of Biological Chemistry (2 papers)
- Partner nations
- United StatesChinaGermany
In The Last Decade
Ningling Kang
32 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 90
- Hepatology 433
- Cell Biology 241
- Cancer Research 202
- Oncology 246
- Epidemiology 262
Countries citing papers authored by Ningling Kang
This map shows the geographic impact of Ningling Kang'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 Ningling Kang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ningling Kang more than expected).
Fields of papers citing papers by Ningling Kang
This network shows the impact of papers produced by Ningling Kang. 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 Ningling Kang. The network helps show where Ningling Kang may publish in the future.
Co-authors
The 25 scholars most cited alongside Ningling Kang, 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 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 180 | |
| 2 | 2011 | 145 | |
| 3 | 1999 | 110 | |
| 4 | 2008 | 106 | |
| 5 | 2023 | 88 | |
| 6 | 2019 | 80 | |
| 7 | 2012 | 74 | |
| 8 | 2013 | 73 | |
| 9 | 2020 | 72 | |
| 10 | 2014 | 65 | |
| 11 | 2014 | 58 | |
| 12 | 2000 | 52 | |
| 13 | 2019 | 51 | |
| 14 | 2022 | 46 | |
| 15 | 2019 | 45 | |
| 16 | 2014 | 41 | |
| 17 | 2021 | 34 | |
| 18 | 2010 | 33 | |
| 19 | 2002 | 29 | |
| 20 | 2014 | 28 |
About Ningling Kang
Ningling Kang is a scholar working on Molecular Biology, Hepatology, Cell Biology, Oncology and Cancer Research, having authored 33 papers that have together received 1.5k indexed citations. Recurring topics across this work include Liver physiology and pathology (13 papers), Wnt/β-catenin signaling in development and cancer (5 papers), Cellular Mechanics and Interactions (4 papers), Hippo pathway signaling and YAP/TAZ (4 papers), Pancreatic and Hepatic Oncology Research (4 papers), TGF-β signaling in diseases (4 papers), Fibroblast Growth Factor Research (3 papers) and Cancer, Hypoxia, and Metabolism (3 papers). The work is most often cited by research in Hepatology (433 citations), Cell Biology (241 citations), Cancer Research (202 citations), Oncology (246 citations) and Epidemiology (262 citations). Ningling Kang has collaborated with scholars based in United States, China and Germany. Frequent co-authors include Vijay H. Shah, Gregory J. Gores, Yuanguo Wang, Kangsheng Tu, Raúl Urrutia, Sheng Cao, Edward B. Leof, Zhikui Liu, Usman Yaqoob and Daniel D. Billadeau. Their work appears in journals such as Hepatology, Gastroenterology, American Journal Of Pathology, Cellular and Molecular Gastroenterology and Hepatology and Journal of Biological Chemistry.
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.