Xun Weng

6.4k citations
12 papers · 5.3k indexed · 2 hit papers · h-index 7

Impact in

Papers in

Xun Weng

12 papers receiving 5.1k citations

Hit Papers

Evidence That the Diabetes Gene Encodes the Leptin Receptor: Identification of a Mutation in the Leptin Receptor Gene in db/db Mice 1996 · 1.8k citations
1.8k199520262005201550010001.5k2.0k2.5k

Peers

Xun Weng
Comparison fields: 5 of 109
  • Endocrine and Autonomic Systems 3.5k
  • Nutrition and Dietetics 2.3k
  • Physiology 2.3k
  • Epidemiology 1.9k
  • Endocrinology, Diabetes and Metabolism 344
Replace Nanhua Deng with:
Nanhua Deng United States
Randy Hecht United States
Marlene Dembski United States
Nigel Hoggard United Kingdom
Jason Montez United States
Min‐Seon Kim South Korea
Eric D. Berglund United States
Sarah H. Bates United States
Anthony P. Coll United Kingdom
Elizabeth A. Woolf United States
Xun Weng relative to Nanhua Deng United States Nanhua Deng's profile →
Citations per field
00.5×1.5×2.3×
Nanhua Deng · 1×
Citations per year

Countries citing papers authored by Xun Weng

Since Specialization
Citations

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

Fields of papers citing papers by Xun Weng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

12 of 12 papers shown
#Work
1 20251
2 20251
3 20245
4 20235
5 20225
6 202111
7 202116
8 201518
9 1997439
10
Evidence That the Diabetes Gene Encodes the Leptin Receptor: Identification of a Mutation in the Leptin Receptor Gene in db/db Mice
Hit paper breakdown →
19961814
11 1996118
12
Identification and expression cloning of a leptin receptor, OB-R
Hit paper breakdown →
19952845

About Xun Weng

Xun Weng is a scholar working on Developmental Biology, Endocrine and Autonomic Systems, Rehabilitation, Plant Science and Nutrition and Dietetics, having authored 12 papers that have together received 5.3k indexed citations. Recurring topics across this work include Photosynthetic Processes and Mechanisms (5 papers), Plant responses to water stress (3 papers), Plant Molecular Biology Research (3 papers), Plant Reproductive Biology (3 papers), Biochemical Analysis and Sensing Techniques (2 papers), Regulation of Appetite and Obesity (2 papers), Congenital limb and hand anomalies (1 paper) and RNA modifications and cancer (1 paper). The work is most often cited by research in Endocrine and Autonomic Systems (3.5k citations), Nutrition and Dietetics (2.3k citations), Physiology (2.3k citations), Epidemiology (1.9k citations) and Endocrinology, Diabetes and Metabolism (344 citations). Xun Weng has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Louis A. Tartaglia, Janice Culpepper, Robert I. Tepper, Nanhua Deng, Marlene Dembski, Elizabeth A. Woolf, Stephen J. Ellis, Grayson Richards, A Moriarty and Karen J. Moore. Their work appears in journals such as Cell, Autophagy, Diabetes, Cell Reports and Science Advances.

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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