Lida Qi

950 citations
15 papers · 656 indexed · h-index 10

Lida Qi

15 papers receiving 628 citations

Peers

Lida Qi
Comparison fields: 5 of 71
  • Endocrinology, Diabetes and Metabolism 183
  • Endocrine and Autonomic Systems 68
  • Surgery 335
  • Molecular Biology 403
  • Nutrition and Dietetics 69
Replace Stephen C. McKeown with:
Stephen C. McKeown United Kingdom
Edward J. Brady United States
Maria E. Due‐Hansen Denmark
Lihu Yang United States
Tomoyuki Odani Japan
Per Olaf Huusfeldt Denmark
Tsuneo Yasuma Japan
Paige E. Mahaney United States
Nancy-Ellen Haynes United States
Fred T. Bizzarro United States
Lida Qi relative to Stephen C. McKeown United Kingdom Stephen C. McKeown's profile →
Citations per field
00.5×2.7×
Stephen C. McKeown · 1×
Citations per year

Countries citing papers authored by Lida Qi

Since Specialization
Citations

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

Fields of papers citing papers by Lida Qi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

15 of 15 papers shown
#Work
1 20142
2 20109
3 201036
4 200511
5 20057
6 2003408
7 200322
8 20039
9 200336
10 200227
11 200112
12 199643
13 199518
14 19949
15 19947

About Lida Qi

Lida Qi is a scholar working on Endocrine and Autonomic Systems, Nutrition and Dietetics, Cell Biology, Developmental Neuroscience and Physical and Theoretical Chemistry, having authored 15 papers that have together received 656 indexed citations. Recurring topics across this work include Biochemical Analysis and Sensing Techniques (5 papers), Regulation of Appetite and Obesity (5 papers), melanin and skin pigmentation (4 papers), Pharmacological Receptor Mechanisms and Effects (2 papers), Porphyrin and Phthalocyanine Chemistry (2 papers), Chemical Reactions and Mechanisms (2 papers), Pancreatic function and diabetes (2 papers) and Metabolism, Diabetes, and Cancer (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (183 citations), Endocrine and Autonomic Systems (68 citations), Surgery (335 citations), Molecular Biology (403 citations) and Nutrition and Dietetics (69 citations). Lida Qi has collaborated with scholars based in United States and Switzerland. Frequent co-authors include Kevin R. Guertin, Joseph Grimsby, Mark Dvorozniak, Nancy-Ellen Haynes, Franz M. Matschinsky, Ramakanth Sarabu, Robert F. Kester, Paige E. Mahaney, Wendy L. Corbett and Fred T. Bizzarro. Their work appears in journals such as Bioorganic & Medicinal Chemistry Letters, The Journal of Organic Chemistry, Tetrahedron Letters, Journal of Medicinal Chemistry and Science.

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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