Chunxia Lü

35 papers receiving 799 citations

Peers

Chunxia Lü
Comparison fields: 5 of 102
  • Endocrine and Autonomic Systems 113
  • Endocrinology, Diabetes and Metabolism 219
  • Physiology 149
  • Reproductive Medicine 40
  • Behavioral Neuroscience 15
Replace P Blažiček with:
P Blažiček Slovakia
Edgar Flores‐Soto Mexico
Akhtar Mahmood India
Claudia Gragnoli United States
Eser Kılıç Türkiye
Linda Rhodes United States
Xiaomei Meng United States
Rahim Ullah China
Jenny C. Link United States
Marta Ramon‐Krauel Spain
Chunxia Lü relative to P Blažiček Slovakia P Blažiček's profile →
Citations per field
00.5×7.4×
P Blažiček · 1×
Citations per year

Countries citing papers authored by Chunxia Lü

Since Specialization
Citations

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

Fields of papers citing papers by Chunxia Lü

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018102
2 200170
3 200262
4 200860
5 201055
6 201652
7 201351
8 201039
9 201634
10 200532
11 201731
12 200624
13 201221
14 200620
15 201816
16 200715
17 200013
18 202113
19 200113
20 202012

About Chunxia Lü

Chunxia Lü is a scholar working on Endocrinology, Diabetes and Metabolism, Physiology, Molecular Biology, Public Health, Environmental and Occupational Health and Surgery, having authored 39 papers that have together received 811 indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (9 papers), Adipose Tissue and Metabolism (5 papers), Pancreatic function and diabetes (4 papers), Regulation of Appetite and Obesity (4 papers), Resilience and Mental Health (3 papers), Metabolism, Diabetes, and Cancer (3 papers), Acupuncture Treatment Research Studies (3 papers) and Lipid metabolism and disorders (3 papers). The work is most often cited by research in Endocrine and Autonomic Systems (113 citations), Endocrinology, Diabetes and Metabolism (219 citations), Physiology (149 citations), Reproductive Medicine (40 citations) and Behavioral Neuroscience (15 citations). Chunxia Lü has collaborated with scholars based in United States, China and India. Frequent co-authors include Ram K. Menon, Mark A. Sperling, Anil Kumar Pasupulati, Yong Fan, Rajasree Menon, David P. Olson, Vasantha Padmanabhan, Muraly Puttabyatappa, Jinhong Sun and Stuart J. Frank. Their work appears in journals such as Journal of Biological Chemistry, Endocrinology, Scientific Reports, Frontiers in Psychiatry and Frontiers in Psychology.

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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