D Shen

667 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 57
  • Endocrinology, Diabetes and Metabolism 379
  • Endocrine and Autonomic Systems 26
  • Reproductive Medicine 20
  • Nephrology 12
  • Behavioral Neuroscience 6
Replace Eigil Iversen with:
Eigil Iversen Denmark
Jennifer Strong United Kingdom
Alfonso Soto Spain
J. A. Torrens United States
P. Rampini Italy
Katerina Tsegka United States
V. M. SWEETING United Kingdom
Amita Dasmahapatra United States
C Dotti Italy
M. A. Santos Portugal
D Shen relative to Eigil Iversen Denmark Eigil Iversen's profile →
Citations per field
00.5×1.5×
Eigil Iversen · 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 17 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
[Resistance to activated protein C].
19951
8
[Isolation and identification of a saponine from Patrinia scabiosaefolia].
19991

About D Shen

D Shen is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology, 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), Hypothalamic control of reproductive hormones (1 paper), Pharmacological Effects and Toxicity Studies (1 paper), Epilepsy research and treatment (1 paper), Telomeres, Telomerase, and Senescence (1 paper), Thyroid Cancer Diagnosis and Treatment (1 paper), Adrenal Hormones and Disorders (1 paper) and Metabolism and Genetic Disorders (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (379 citations), Endocrine and Autonomic Systems (26 citations), Reproductive Medicine (20 citations), Nephrology (12 citations) and Behavioral Neuroscience (6 citations). D Shen has collaborated with scholars based in United States and China. Frequent co-authors include John T. Nicoloff, Carole A. Spencer, Jonathan S. LoPresti, Arati Patel, Richard Guttler, Daniel C. Gray, Simon C. Weiss, Hao Wu, Ling Tao and Meisheng Jiang. 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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