Naishi Li

1.9k citations
80 papers · 1.4k indexed · 2 hit papers · h-index 23
Topics
Adipose Tissue and Metabolism (14 papers)Adipokines, Inflammation, and Metabolic Diseases (14 papers)Neuroendocrine Tumor Research Advances (9 papers)

In The Last Decade

Naishi Li

69 papers receiving 1.4k citations

Hit Papers

Design of Diselenide-Bridged Hyaluronic Acid Nano-antioxi...20212026202220242022202150100150

Peers

Naishi Li
Comparison fields: 5 of 131
  • Physiology 364
  • Molecular Biology 354
  • Epidemiology 342
  • Endocrinology, Diabetes and Metabolism 298
  • Surgery 163
Replace Kaoruko Iida with:
Kaoruko Iida Japan
Jun Goo Kang South Korea
Małgorzata Malczewska-Malec Poland
Mohamed A. Elrayess Qatar
Kristine McGrath Australia
Sabine Allam Lebanon
Shariq I. Sherwani United States
Salvador Pérez Spain
Bartosz Malinowski Poland
Marcelo Dib Bechara Brazil
Naishi Li relative to Kaoruko Iida Japan Kaoruko Iida's profile →
Citations per field
00.5×1.5×2.0×
Kaoruko Iida · 1×
Citations per year

Countries citing papers authored by Naishi Li

Since Specialization
Citations

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

Fields of papers citing papers by Naishi Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Naishi Li

This figure shows the co-authorship network connecting the top 25 collaborators of Naishi Li. A scholar is included among the top collaborators of Naishi Li based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Naishi Li. Naishi Li is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 0
3 10
4 0
5 6
6 4
7 0
8 6
9 10
10 0
11 40
12 0
13 27
14 28
15 27
16 32
17
Generalized glucocorticoid resistance accompanied with an adrenocortical adenoma and caused by a novel point mutation of human glucocorticoid receptor gene.
22
18 17
19 13
20 6

About Naishi Li

Naishi Li is a scholar working on Endocrinology, Diabetes and Metabolism, Endocrine and Autonomic Systems and Epidemiology, having authored 80 papers that have together received 1.4k indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (14 papers), Adipokines, Inflammation, and Metabolic Diseases (14 papers) and Neuroendocrine Tumor Research Advances (9 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (298 citations), Physiology (364 citations) and Endocrine and Autonomic Systems (69 citations). Naishi Li has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Fengying Gong, Hui Pan, An Pan, Xiong‐Fei Pan, Qiang Zeng, Lulu Chen, Hongbo Yang, Harold Snieder, Jingyuan Fu and Marten H. Hofker. Their work appears in journals such as Nature Communications, Nano Letters and ACS Nano.

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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