Ling Deng

71 papers receiving 2.3k citations

Ling Deng's Hit Papers

Enhanced glycolysis in granulosa cells promotes the activation of primordial follicles through mTOR signaling 2022 · 102 citations
1020+1+2Years since publication255075100

Peers

Ling Deng
Comparison fields: 5 of 116
  • Business and International Management 56
  • Ecology 608
  • Molecular Biology 1.5k
  • Endocrinology 101
  • Genetics 415
Replace Gholamreza Ahmadian with:
Gholamreza Ahmadian Iran
Matthew C. Radey United States
Zhi Ruan China
Jon Penterman United States
Klaus Heuner Germany
Chitong Rao Canada
Alfredo Menéndez Canada
Mourad Sabri Canada
Guanxiang Liang United States
Harry Meade United States
Ling Deng relative to Gholamreza Ahmadian Iran Gholamreza Ahmadian's profile →
Citations per field
00.5×2×4×5.3×
Gholamreza Ahmadian · 1×
Citations per year

Countries citing papers authored by Ling Deng

Since Specialization
Citations

This map shows the geographic impact of Ling Deng'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 Ling Deng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ling Deng more than expected).

Fields of papers citing papers by Ling Deng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ling Deng. 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 Ling Deng. The network helps show where Ling Deng may publish in the future.

Co-authors

The 25 scholars most cited alongside Ling Deng, 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 Ling Deng Line = papers co-authored together Ling Deng links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 72 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013200
2 2010194
3 2009170
4 2021111
5 2020102
6
Enhanced glycolysis in granulosa cells promotes the activation of primordial follicles through mTOR signaling
Hit paper breakdown →
2022102
7 2018100
8 201288
9 202278
10 201669
11 201162
12 202057
13 200956
14 201054
15 202052
16 201152
17 202348
18 201047
19 201945
20 201337

About Ling Deng

Ling Deng is a scholar working on Infectious Diseases, Ecology, Reproductive Medicine, Molecular Biology and Endocrinology, having authored 72 papers that have together received 2.3k indexed citations. Recurring topics across this work include Bacteriophages and microbial interactions (19 papers), CRISPR and Genetic Engineering (11 papers), Viral gastroenteritis research and epidemiology (11 papers), Ovarian function and disorders (7 papers), Gut microbiota and health (7 papers), Bacterial Genetics and Biotechnology (6 papers), Plant Virus Research Studies (6 papers) and Reproductive Biology and Fertility (5 papers). The work is most often cited by research in Business and International Management (56 citations), Ecology (608 citations), Molecular Biology (1.5k citations), Endocrinology (101 citations) and Genetics (415 citations). Ling Deng has collaborated with scholars based in China, Denmark and Canada. Frequent co-authors include Qunxin She, Roger A. Garrett, Xu Peng, Shiraz Ali Shah, Dennis Sandris Nielsen, Yun Xiang Liang, Zhengjun Chen, Sóley Ruth Gudbergsdóttir, Josué Leonardo Castro-Mejía and Nan Peng. Their work appears in journals such as Nature Communications, RNA Biology, The ISME Journal, Viruses and Gut Microbes.

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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