Jun Sun

73 papers receiving 5.2k citations

Jun Sun's Hit Papers

Pyrazole Ligands: Structure−Affinity/Activity Relationships and Estrogen Receptor-α-Selective Agonists 2000 · 692 citations
6920+8+17Years since publication200400600

Peers

Jun Sun
Comparison fields: 5 of 116
  • Toxicology 306
  • Genetics 2.5k
  • Behavioral Neuroscience 167
  • Reproductive Medicine 366
  • Endocrinology, Diabetes and Metabolism 595
Replace Gabriella Castoria with:
Gabriella Castoria Italy
Ferdinando Auricchio Italy
Anders Ström Sweden
K.W. Nettles United States
Dale C. Leitman United States
C. Richard Lyttle United States
Zafar Nawaz United States
Lars Öhman Sweden
Jonna M. Frasor United States
Filippo Acconcia Italy
Jun Sun relative to Gabriella Castoria Italy Gabriella Castoria's profile →
Citations per field
00.5×2×3.2×
Gabriella Castoria · 1×
Citations per year

Countries citing papers authored by Jun Sun

Since Specialization
Citations

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

Fields of papers citing papers by Jun Sun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 74 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Pyrazole Ligands: Structure−Affinity/Activity Relationships and Estrogen Receptor-α-Selective Agonists
Hit paper breakdown →
2000692
2 2001608
3 2007307
4 1999288
5 1998245
6 2000244
7 2001231
8 2002215
9 2013205
10 2000193
11 1999129
12 200494
13 199988
14 200283
15 201183
16 200381
17 200179
18 200777
19 200368
20 200668

About Jun Sun

Jun Sun is a scholar working on Genetics, Toxicology, Molecular Biology, Immunology and Hematology, having authored 74 papers that have together received 5.3k indexed citations. Recurring topics across this work include Estrogen and related hormone effects (24 papers), Retinoids in leukemia and cellular processes (8 papers), Bioactive Compounds and Antitumor Agents (8 papers), Psoriasis: Treatment and Pathogenesis (6 papers), Synthesis and biological activity (6 papers), Inflammatory mediators and NSAID effects (5 papers), Protein Kinase Regulation and GTPase Signaling (5 papers) and Acute Myeloid Leukemia Research (5 papers). The work is most often cited by research in Toxicology (306 citations), Genetics (2.5k citations), Behavioral Neuroscience (167 citations), Reproductive Medicine (366 citations) and Endocrinology, Diabetes and Metabolism (595 citations). Jun Sun has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Benita S. Katzenellenbogen, John A. Katzenellenbogen, Kathryn E. Carlson, Marvin J. Meyers, Shaun R. Stauffer, HU Jin-hong, Gwendolyn A. Marriner, Joyce M. Slingerland, Rosanna Tedesco and Gisele Nishiguchi. Their work appears in journals such as Endocrinology, Molecular Endocrinology, Journal of Medicinal Chemistry, International Immunopharmacology and Clinical Cancer Research.

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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