Gang Ning
- Molecular Biology top 10%
- Cancer Research top 10%
- Surgery top 10%
- Pulmonary and Respiratory Medicine top 10%
- Reproductive Medicine top 5%
- Co-authors
- Stephen A. DuncanJennifer M RossiFereshteh ParvizJohn W. AdamsonWendy GarrisonKenneth S. ZaretChristine M. MatulloKlaus H. Kaestner
- Topics
- Reproductive Biology and Fertility (7 papers)RNA modifications and cancer (6 papers)Ovarian cancer diagnosis and treatment (4 papers)
- Partner nations
- United StatesChinaSingapore
In The Last Decade
Gang Ning
32 papers receiving 1.4k citations
Hit Papers
Peers
Comparison fields: 5 of 88
- Molecular Biology 792
- Cancer Research 301
- Surgery 283
- Pulmonary and Respiratory Medicine 277
- Reproductive Medicine 214
Countries citing papers authored by Gang Ning
This map shows the geographic impact of Gang 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 Gang Ning with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gang Ning more than expected).
Fields of papers citing papers by Gang Ning
This network shows the impact of papers produced by Gang 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 Gang Ning. The network helps show where Gang Ning may publish in the future.
Co-authorship network of co-authors of Gang Ning
This figure shows the co-authorship network connecting the top 25 collaborators of Gang Ning. A scholar is included among the top collaborators of Gang Ning 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 Gang Ning. Gang Ning is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 3 | |
| 3 | 2 | |
| 4 | 3 | |
| 5 | 8 | |
| 6 | 31 | |
| 7 | 9 | |
| 8 | 12 | |
| 9 | Iron addiction: a novel therapeutic target in ovarian cancerbreakdown → | 355 |
| 10 | 2 | |
| 11 | 16 | |
| 12 | 117 | |
| 13 | 1 | |
| 14 | 8 | |
| 15 | 31 | |
| 16 | 467 | |
| 17 | 97 | |
| 18 | 8 | |
| 19 | Cyanine dye aggregates of AgBr emulsion crystals studied by analytical color fluorescence electron microscopy. II: The morphology of J-aggregates and change of luminescence color caused by electron irradiation | 1 |
| 20 | CATHODOLUMINESCENCE (CL) FROM LIPID DROPLETS (LD) OF VARIOUS FOLLICLES (FC) OF RAT BY ANALYTICAL COLOR FLUORESCENCE ELECTRON MICROSCOPY | 1 |
About Gang Ning
Gang Ning is a scholar working on Reproductive Medicine, Structural Biology and Endocrinology, having authored 33 papers that have together received 1.4k indexed citations. Recurring topics across this work include Reproductive Biology and Fertility (7 papers), RNA modifications and cancer (6 papers) and Ovarian cancer diagnosis and treatment (4 papers). The work is most often cited by research in Reproductive Medicine (214 citations), Hepatology (180 citations) and Structural Biology (30 citations). Gang Ning has collaborated with scholars based in United States, China and Singapore. Frequent co-authors include Stephen A. Duncan, Jennifer M Rossi, Fereshteh Parviz, John W. Adamson, Wendy Garrison, Kenneth S. Zaret, Christine M. Matullo, Klaus H. Kaestner, Wa Xian and Christopher P. Crum. Their work appears in journals such as Journal of Biological Chemistry, Nature Communications and Nature Genetics.
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.