Lin Pei

3.3k citations
51 papers · 2.8k · h-index 24

Impact in

Papers in

Lin Pei

48 papers receiving 2.7k citations

Peers

Lin Pei
Comparison fields: 5 of 102
  • Endocrinology, Diabetes and Metabolism 914
  • Cancer Research 421
  • Genetics 276
  • Immunology 400
  • Molecular Biology 1.3k
Replace Leonard Girnita with:
Leonard Girnita Sweden
Ashraf Dallol Saudi Arabia
Gabriella De Vita Italy
Maria Grazia Borrello Italy
Ada Girnita Sweden
Toshihiko Masui Japan
Haruhiko Kouhara Japan
Béatrice Parfait France
Ulf Dahl Sweden
Silviu Sbiera Germany
Lin Pei relative to Leonard Girnita Sweden Leonard Girnita's profile →
Citations per field
00.5×3.2×
Leonard Girnita · 1×
Citations per year

Countries citing papers authored by Lin Pei

Since Specialization
Citations

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

Fields of papers citing papers by Lin Pei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1997474
2 2009246
3 2003220
4 2010191
5
Frequent loss of heterozygosity at the retinoblastoma susceptibility gene (RB) locus in aggressive pituitary tumors: evidence for a chromosome 13 tumor suppressor gene other than RB.
1995183
6 1994169
7 2003146
8 2001137
9 1991110
10 200098
11
PRC17, a novel oncogene encoding a Rab GTPase-activating protein, is amplified in prostate cancer.
200284
12 200066
13 201760
14 200160
15 201156
16 201949
17 202149
18 199940
19 199639
20 199639

About Lin Pei

Lin Pei is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism, Cancer Research, Pulmonary and Respiratory Medicine and Oncology, having authored 51 papers that have together received 2.8k indexed citations. Recurring topics across this work include Pituitary Gland Disorders and Treatments (10 papers), Cancer, Hypoxia, and Metabolism (9 papers), Epigenetics and DNA Methylation (6 papers), Neuroblastoma Research and Treatments (5 papers), Reproductive Biology and Fertility (4 papers), Growth Hormone and Insulin-like Growth Factors (3 papers), TGF-β signaling in diseases (3 papers) and Ion Transport and Channel Regulation (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (914 citations), Cancer Research (421 citations), Genetics (276 citations), Immunology (400 citations) and Molecular Biology (1.3k citations). Lin Pei has collaborated with scholars based in United States, China and Spain. Frequent co-authors include Шломо Мелмед, B. Scheithauer, Kálmán Kovács, Wenwen Chien, Dara Kallop, Scott Powers, Timothy Hoey, Jinfeng Liu, Mei Jia and D Prager. Their work appears in journals such as Journal of Biological Chemistry, Biochemical Journal, Oncogene, Molecular Endocrinology and The Journal of Clinical Endocrinology & Metabolism.

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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