D Shen

666 citations
8 papers · 494 · h-index 5

Impact in

Papers in

D Shen

8 papers receiving 464 citations

Peers

D Shen
Comparison fields: 5 of 63
  • Endocrinology, Diabetes and Metabolism 386
  • Endocrine and Autonomic Systems 42
  • Reproductive Medicine 24
  • Pediatrics, Perinatology and Child Health 39
  • Nephrology 14
Replace Katerina Tsegka with:
Katerina Tsegka United States
Jennifer Strong United Kingdom
Alfonso Soto Spain
E Vilardell Spain
V. M. SWEETING United Kingdom
Amita Dasmahapatra United States
J. A. Torrens United Kingdom
Alexandru Buescu Brazil
Stefania Moia Italy
P. Rampini Italy
D Shen relative to Katerina Tsegka United States Katerina Tsegka's profile →
Citations per field
00.5×1.5×
Katerina Tsegka · 1×
Citations per year

Countries citing papers authored by D Shen

Since Specialization
Citations

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

Fields of papers citing papers by D Shen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 18 scholars most cited alongside D Shen, 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 D Shen Line = papers co-authored together D Shen links everyone, so they are left out of the graph.

All Works

8 of 8 papers shown
#Work
1 1990273
2 1987169
3
Structure and developmental expression of the mouse RGR opsin gene.
199831
4 199614
5
[Saliva phenobarbital concentration in epileptics].
19894
6 20241
7
[Isolation and identification of a saponine from Patrinia scabiosaefolia].
19991
8
[Resistance to activated protein C].
19951

About D Shen

D Shen is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism, Cellular and Molecular Neuroscience, Pediatrics, Perinatology and Child Health and Clinical Biochemistry, having authored 8 papers that have together received 494 indexed citations. Recurring topics across this work include Thyroid Disorders and Treatments (2 papers), Metabolism and Genetic Disorders (1 paper), Pharmacological Effects and Toxicity Studies (1 paper), Natural product bioactivities and synthesis (1 paper), Neuropeptides and Animal Physiology (1 paper), Growth Hormone and Insulin-like Growth Factors (1 paper), Congenital heart defects research (1 paper) and Bioinformatics and Genomic Networks (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (386 citations), Endocrine and Autonomic Systems (42 citations), Reproductive Medicine (24 citations), Pediatrics, Perinatology and Child Health (39 citations) and Nephrology (14 citations). D Shen has collaborated with scholars based in United States and China. Frequent co-authors include Carole A. Spencer, John T. Nicoloff, Daniel C. Gray, Arati Patel, Jonathan S. LoPresti, Richard Guttler, Simon C. Weiss, Hao Wu, Ling Tao and J.R. Korenberg. Their work appears in journals such as Clinical Chemistry, Human Genetics, BioData Mining, The Journal of Clinical Endocrinology & Metabolism and PubMed.

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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