Jing Ning
Impact in
- Statistics and Probability top 0.5%
- Statistical Methods and Inference
- Statistical Methods and Bayesian Inference
- Statistical Methods in Clinical Trials
- Hematology top 2%
- Acute Myeloid Leukemia Research
Papers in
-
- Statistical Methods and Inference 59
- Statistical Methods in Clinical Trials 38
- Statistical Methods and Bayesian Inference 37
- Advanced Causal Inference Techniques 23
- Oncology 32
- Co-authors
- Lizhong Xiong (6 shared papers)Yu Shen (32 shared papers)Jing Qin (22 shared papers)Xianghua Li (2 shared papers)Leslie M. Hicks (1 shared paper)Xuelin Huang (19 shared papers)Bita Esmaeli (19 shared papers)Michael T. Tetzlaff (14 shared papers)
- Journals
- Statistics in Medicine (22 papers)Biometrics (13 papers)Blood (12 papers)Statistical Methods in Medical Research (10 papers)Biostatistics (7 papers)
- Partner nations
- United StatesChinaSouth Korea
In The Last Decade
Jing Ning
240 papers receiving 4.3k citations
Peers
Comparison fields: 5 of 165
- Statistics and Probability 614
- Hematology 432
- Oncology 618
- Hepatology 165
- Plant Science 859
Countries citing papers authored by Jing Ning
This map shows the geographic impact of Jing Ning'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 Jing Ning with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jing Ning more than expected).
Fields of papers citing papers by Jing Ning
This network shows the impact of papers produced by Jing Ning. 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 Jing Ning. The network helps show where Jing Ning may publish in the future.
Co-authors
The 25 scholars most cited alongside Jing Ning, 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 262 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 290 | |
| 2 | 2012 | 169 | |
| 3 | 2009 | 162 | |
| 4 | 2011 | 131 | |
| 5 | 2021 | 120 | |
| 6 | 2020 | 105 | |
| 7 | 2009 | 97 | |
| 8 | 2013 | 90 | |
| 9 | 2015 | 89 | |
| 10 | 2022 | 85 | |
| 11 | 2019 | 84 | |
| 12 | 2016 | 83 | |
| 13 | 2015 | 70 | |
| 14 | 2004 | 65 | |
| 15 | 2016 | 60 | |
| 16 | 2016 | 60 | |
| 17 | 2019 | 59 | |
| 18 | 2018 | 59 | |
| 19 | 2016 | 57 | |
| 20 | 2011 | 53 |
About Jing Ning
Jing Ning is a scholar working on Statistics and Probability, Oncology, Molecular Biology, Hematology and Epidemiology, having authored 262 papers that have together received 4.4k indexed citations. Recurring topics across this work include Statistical Methods and Inference (59 papers), Statistical Methods in Clinical Trials (38 papers), Statistical Methods and Bayesian Inference (37 papers), Advanced Causal Inference Techniques (23 papers), Acute Myeloid Leukemia Research (19 papers), Health Systems, Economic Evaluations, Quality of Life (12 papers), Liver Disease Diagnosis and Treatment (11 papers) and Bayesian Methods and Mixture Models (9 papers). The work is most often cited by research in Statistics and Probability (614 citations), Hematology (432 citations), Oncology (618 citations), Hepatology (165 citations) and Plant Science (859 citations). Jing Ning has collaborated with scholars based in United States, China and South Korea. Frequent co-authors include Lizhong Xiong, Yu Shen, Jing Qin, Xianghua Li, Leslie M. Hicks, Xuelin Huang, Bita Esmaeli, Michael T. Tetzlaff, Honghong Hu and Hao Du. Their work appears in journals such as Statistics in Medicine, Biometrics, Blood, Statistical Methods in Medical Research and Biostatistics.
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.