Xinping Lu

34 papers receiving 1.3k citations

Peers

Xinping Lu
Comparison fields: 5 of 90
  • Endocrine and Autonomic Systems 291
  • Aging 40
  • Nutrition and Dietetics 295
  • Endocrinology, Diabetes and Metabolism 267
  • Cellular and Molecular Neuroscience 247
Replace Kaori Kitagawa with:
Kaori Kitagawa Japan
M P Graziano United States
Fulvio Celsi Italy
Xin Jin China
Mario Durán‐Prado Spain
Kazuki Harada Japan
Junko Doi Japan
Blanca Rubı́ Spain
André Vandermeers Belgium
Hsu‐Wen Chao Taiwan
Xinping Lu relative to Kaori Kitagawa Japan Kaori Kitagawa's profile →
Citations per field
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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-authorship network

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
#Work
1 202017
2 201943
3 201869
4 201637
5 20157
6 201312
7 201286
8
Study on chemical constituents from the root of Urtica fissa
20111
9 201111
10 201156
11 201052
12 200831
13 200628
14 200621
15 20047
16 200311
17 2003118
18 200126
19 200133
20 199911

About Xinping Lu

Xinping Lu is a scholar working on Aging, Reproductive Medicine, Cellular and Molecular Neuroscience, Endocrine and Autonomic Systems and Molecular Biology, having authored 35 papers that have together received 1.3k indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (11 papers), Receptor Mechanisms and Signaling (9 papers), Hypothalamic control of reproductive hormones (7 papers), Mitochondrial Function and Pathology (4 papers), Growth Hormone and Insulin-like Growth Factors (4 papers), Regulation of Appetite and Obesity (3 papers), Adipose Tissue and Metabolism (3 papers) and RNA modifications and cancer (3 papers). The work is most often cited by research in Endocrine and Autonomic Systems (291 citations), Aging (40 citations), Nutrition and Dietetics (295 citations), Endocrinology, Diabetes and Metabolism (267 citations) and Cellular and Molecular Neuroscience (247 citations). Xinping Lu has collaborated with scholars based in United States, China and India. Frequent co-authors include Stephen A. Wank, Xilin Zhao, Alice P. Liou, 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, Endocrinology, Protein & Cell, Bioorganic & Medicinal Chemistry 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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