Ting Lei
Impact in
- Genetics top 2%
- Glioma Diagnosis and Treatment
-
- Pituitary Gland Disorders and Treatments
- Growth Hormone and Insulin-like Growth Factors
Papers in
-
- Pituitary Gland Disorders and Treatments 47
- Growth Hormone and Insulin-like Growth Factors 19
-
- Glycosylation and Glycoproteins Research 11
- Co-authors
- Kai Shu (63 shared papers)Huaqiu Zhang (36 shared papers)Junwen Wang (25 shared papers)Eric F. Adams (8 shared papers)Rudolf Fahlbusch (9 shared papers)Michael Buchfelder (9 shared papers)Suojun Zhang (16 shared papers)Xueyan Wan (26 shared papers)
- Journals
- Cancers (6 papers)Neurosurgical Review (5 papers)Acta Neurochirurgica (4 papers)Neurosurgery (4 papers)Frontiers in Oncology (4 papers)
- Partner nations
- ChinaGermanyUnited States
In The Last Decade
Ting Lei
226 papers receiving 3.5k citations
Peers
Comparison fields: 5 of 145
- Genetics 448
- Endocrinology, Diabetes and Metabolism 558
- Developmental Neuroscience 111
- Neurology 369
- Cancer Research 322
Countries citing papers authored by Ting Lei
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
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-authors
The 25 scholars most cited alongside Ting Lei, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 235 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 130 | |
| 2 | 2017 | 91 | |
| 3 | 2007 | 75 | |
| 4 | 2010 | 73 | |
| 5 | 2008 | 63 | |
| 6 | 2017 | 57 | |
| 7 | College Students' Academic Motivation: Differences by Gender, Class, and Source of Payment. | 2010 | 55 |
| 8 | 2016 | 53 | |
| 9 | 1995 | 52 | |
| 10 | 2016 | 49 | |
| 11 | 1995 | 47 | |
| 12 | 2010 | 46 | |
| 13 | 1995 | 45 | |
| 14 | 2011 | 44 | |
| 15 | 1996 | 44 | |
| 16 | 2018 | 42 | |
| 17 | 2008 | 41 | |
| 18 | 2009 | 39 | |
| 19 | 2016 | 39 | |
| 20 | 2010 | 38 |
About Ting Lei
Ting Lei is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology, Neurology, Genetics and Epidemiology, having authored 235 papers that have together received 3.6k indexed citations. Recurring topics across this work include Pituitary Gland Disorders and Treatments (47 papers), Glioma Diagnosis and Treatment (34 papers), Growth Hormone and Insulin-like Growth Factors (19 papers), Neuroinflammation and Neurodegeneration Mechanisms (14 papers), Meningioma and schwannoma management (14 papers), Glycosylation and Glycoproteins Research (11 papers), Adipose Tissue and Metabolism (10 papers) and Neurogenesis and neuroplasticity mechanisms (9 papers). The work is most often cited by research in Genetics (448 citations), Endocrinology, Diabetes and Metabolism (558 citations), Developmental Neuroscience (111 citations), Neurology (369 citations) and Cancer Research (322 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, Suojun Zhang, Xueyan Wan, Fei Ye and Kai Shu. Their work appears in journals such as Cancers, Neurosurgical Review, Acta Neurochirurgica, Neurosurgery and Frontiers in Oncology.
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.