Gang Ning

3.1k citations
33 papers · 1.4k indexed · 1 hit paper · h-index 13

Gang Ning

32 papers receiving 1.4k citations

Hit Papers

Iron addiction: a novel therapeutic target in ovarian cancer3552017202620202023100200300

Peers

Gang Ning
Comparison fields: 5 of 88
  • Reproductive Medicine 214
  • Hepatology 180
  • Structural Biology 30
  • Cancer Research 301
  • Molecular Biology 792
Replace Tammy L. Moser with:
Tammy L. Moser United States
Sara A. Byron United States
Kae Hashimoto Japan
Dineli Wickramasinghe United States
Arnold I. Coffer United Kingdom
Gudrun Meinhardt Austria
Ilse Van der Auwera Belgium
Marta Herreros‐Villanueva Spain
Lakjaya Buluwela United Kingdom
Vijay S. Tonk United States
Gang Ning relative to Tammy L. Moser United States Tammy L. Moser's profile →
Citations per field
00.5×12.2×
Tammy L. Moser · 1×
Citations per year

Countries citing papers authored by Gang Ning

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

The 25 scholars most cited alongside Gang Ning, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Gang Ning Line = papers co-authored together Gang Ning links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20243
3 20242
4 20233
5 20218
6 202131
7 20189
8 201712
9
Iron addiction: a novel therapeutic target in ovarian cancerbreakdown →
2017355
10 20132
11 201316
12 2010117
13 20081
14 20088
15 200431
16 2003467
17 200297
18 20028
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
19941
20
CATHODOLUMINESCENCE (CL) FROM LIPID DROPLETS (LD) OF VARIOUS FOLLICLES (FC) OF RAT BY ANALYTICAL COLOR FLUORESCENCE ELECTRON MICROSCOPY
19901

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), Ovarian cancer diagnosis and treatment (4 papers), Ferroptosis and cancer prognosis (3 papers), Ovarian function and disorders (3 papers), Bacterial Genetics and Biotechnology (3 papers), Yersinia bacterium, plague, ectoparasites research (3 papers) and Sperm and Testicular Function (2 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.

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2026