Ting Lei

5.4k citations
234 papers · 3.3k indexed · h-index 30
Topics
Pituitary Gland Disorders and Treatments (49 papers)Glioma Diagnosis and Treatment (40 papers)Growth Hormone and Insulin-like Growth Factors (26 papers)
Journals
CirculationNature CommunicationsSHILAP Revista de lepidopterología

In The Last Decade

Ting Lei

223 papers receiving 3.3k citations

Peers

Ting Lei
Comparison fields: 5 of 149
  • Molecular Biology 1.0k
  • Endocrinology, Diabetes and Metabolism 559
  • Genetics 523
  • Surgery 490
  • Neurology 487
Replace Rudolf Kirchmair with:
Rudolf Kirchmair Austria
Pedro Cuevas Spain
Martin Reichel Germany
Didier Lacombe France
Rogelio González‐Sarmiento Spain
Carl Hobbs United Kingdom
Florent Elefteriou United States
Stephen Lake United States
Ludwig Wagner Austria
Massimiliano Mirabella Italy
Ting Lei relative to Rudolf Kirchmair Austria Rudolf Kirchmair's profile →
Citations per field
00.5×3.0×
Rudolf Kirchmair · 1×
Citations per year

Countries citing papers authored by Ting Lei

Since Specialization
Citations

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

Fields of papers citing papers by Ting Lei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ting Lei

This figure shows the co-authorship network connecting the top 25 collaborators of Ting Lei. A scholar is included among the top collaborators of Ting Lei 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 Ting Lei. Ting Lei 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 0
2 16
3 1
4 4
5 7
6 2
7 6
8 2
9 4
10 8
11 9
12 7
13 0
14 12
15 35
16 1
17
College Students' Academic Motivation: Differences by Gender, Class, and Source of Payment.
51
18 126
19 1
20 4

About Ting Lei

Ting Lei is a scholar working on Genetics, Neurology and Endocrinology, Diabetes and Metabolism, having authored 234 papers that have together received 3.3k indexed citations. Recurring topics across this work include Pituitary Gland Disorders and Treatments (49 papers), Glioma Diagnosis and Treatment (40 papers) and Growth Hormone and Insulin-like Growth Factors (26 papers). The work is most often cited by research in Genetics (523 citations), Endocrinology, Diabetes and Metabolism (559 citations) and Neurology (487 citations). Ting Lei has collaborated with scholars based in China, Germany and United States. Frequent co-authors include Kai Shu, Huaqiu Zhang, Junwen Wang, Eric F. Adams, Rudolf Fahlbusch, Michael Buchfelder, Fei Ye, Suojun Zhang, Xueyan Wan and Feng Mao. Their work appears in journals such as Circulation, Nature Communications and SHILAP Revista de lepidopterología.

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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