Xinping Lu

34 papers receiving 1.4k citations

Peers

Xinping Lu
Comparison fields: 5 of 90
  • Endocrine and Autonomic Systems 299
  • Aging 40
  • Nutrition and Dietetics 292
  • Endocrinology, Diabetes and Metabolism 286
  • Cellular and Molecular Neuroscience 256
Replace Kaori Kitagawa with:
Kaori Kitagawa Japan
Takeo Awaji Japan
M P Graziano United States
Fulvio Celsi Italy
François Casas France
Erica Nishimura Denmark
Mario Durán‐Prado Spain
Junko Doi Japan
André Vandermeers Belgium
V E Groppi United States
Xinping Lu relative to Kaori Kitagawa Japan Kaori Kitagawa's profile →
Citations per field
00.5×2×3×4×4.5×
Kaori Kitagawa · 1×
Citations per year

Countries citing papers authored by Xinping Lu

Since Specialization
Citations

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

Fields of papers citing papers by Xinping Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010234
2 2011155
3 2003138
4 201286
5 201869
6 199566
7 201158
8 201556
9 201052
10 200550
11 201944
12 201641
13 200137
14 201934
15 201733
16 200832
17 200628
18 200128
19 199428
20 200622

About Xinping Lu

Xinping Lu is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Reproductive Medicine, Endocrinology, Diabetes and Metabolism and Physiology, having authored 35 papers that have together received 1.4k indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (11 papers), Receptor Mechanisms and Signaling (8 papers), Hypothalamic control of reproductive hormones (7 papers), Mitochondrial Function and Pathology (4 papers), Growth Hormone and Insulin-like Growth Factors (4 papers), Heat shock proteins research (3 papers), RNA Research and Splicing (3 papers) and Biochemical Analysis and Sensing Techniques (3 papers). The work is most often cited by research in Endocrine and Autonomic Systems (299 citations), Aging (40 citations), Nutrition and Dietetics (292 citations), Endocrinology, Diabetes and Metabolism (286 citations) and Cellular and Molecular Neuroscience (256 citations). Xinping Lu has collaborated with scholars based in United States, China and India. Frequent co-authors include Xilin Zhao, Alice P. Liou, Stephen A. Wank, Susanne Pechhold, Yoshitatsu Sei, Helen E. Raybould, Marvin C. Gershengorn, Jianying Feng, Rahul Jain and Navneet Kaur. Their work appears in journals such as American Journal of Physiology-Gastrointestinal and Liver Physiology, Protein & Cell, Bioorganic & Medicinal Chemistry, Endocrinology and Journal of Molecular Endocrinology.

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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