Jennifer Zeng

879 citations
17 papers · 622 indexed · 1 hit paper · h-index 8
Topics
Breast Cancer Treatment Studies (5 papers)HER2/EGFR in Cancer Research (3 papers)Breast Lesions and Carcinomas (3 papers)
Partner nations
United StatesSwitzerland

In The Last Decade

Jennifer Zeng

16 papers receiving 612 citations

Hit Papers

The Mitochondrial-Derived Peptide MOTS-c Promotes Metabol...20152026201820222015100200300400500

Peers

Jennifer Zeng
Comparison fields: 5 of 85
  • Molecular Biology 349
  • Physiology 196
  • Rheumatology 163
  • Cancer Research 82
  • Epidemiology 75
Replace Marta Seco-Cervera with:
Marta Seco-Cervera Spain
José Santiago Ibáñez-Cabellos Spain
Laura Cinque Italy
Yuxiang Zheng United States
Julie Fleischer United States
Ji Sun Moon South Korea
Jeonghan Kim United States
Pradeep Kumar Sacitharan United Kingdom
Huiyi Jin China
Sarmistha Mukherjee United States
Jennifer Zeng relative to Marta Seco-Cervera Spain Marta Seco-Cervera's profile →
Citations per field
00.5×3.4×
Marta Seco-Cervera · 1×
Citations per year

Countries citing papers authored by Jennifer Zeng

Since Specialization
Citations

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

Fields of papers citing papers by Jennifer Zeng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jennifer Zeng

This figure shows the co-authorship network connecting the top 25 collaborators of Jennifer Zeng. A scholar is included among the top collaborators of Jennifer Zeng 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 Jennifer Zeng. Jennifer Zeng is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
#WorkIndexed citations
1 3
2 2
3 0
4 4
5 17
6 7
7 3
8 14
9 12
10 2
11 28
12 7
13
The Mitochondrial-Derived Peptide MOTS-c Promotes Metabolic Homeostasis and Reduces Obesity and Insulin Resistancebreakdown →
511
14 2
15 7
16 1
17 2

About Jennifer Zeng

Jennifer Zeng is a scholar working on Family Practice, Cancer Research and Oncology, having authored 17 papers that have together received 622 indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (5 papers), HER2/EGFR in Cancer Research (3 papers) and Breast Lesions and Carcinomas (3 papers). The work is most often cited by research in Aging (20 citations), Rheumatology (163 citations) and Physiology (196 citations). Jennifer Zeng has collaborated with scholars based in United States and Switzerland. Frequent co-authors include Alejandro Martín‐Montalvo, Brian G. Drew, Hemal H. Mehta, Changhan Lee, Su‐Jeong Kim, Rafael de Cabo, Pinchas Cohen, Junxiang Wan, Tamer Sallam and Andrea L. Hevener. Their work appears in journals such as JAMA, Cell Metabolism and Gastrointestinal Endoscopy.

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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