Steve Jia

413 citations
9 papers · 343 · h-index 6

Impact in

    • Cancer, Hypoxia, and Metabolism
    • Epigenetics and DNA Methylation
    • Cancer-related gene regulation
    • Glycosylation and Glycoproteins Research

Papers in

    • Cancer-related gene regulation 3
    • Microbial metabolism and enzyme function 2
    • PARP inhibition in cancer therapy 2

Steve Jia

9 papers receiving 332 citations

Peers

Steve Jia
Comparison fields: 5 of 63
  • Cancer Research 90
  • Molecular Biology 214
  • Clinical Biochemistry 18
  • Obstetrics and Gynecology 19
  • Biotechnology 21
Replace Anna Miller with:
Anna Miller United States
Tatsuhiko Shigeto Japan
Kimberly Q. McKinney United States
Adam K. Willson United States
Xiao‐Zheng Liu Norway
Nicholas Johnston United States
Shunqun Luo China
Emilia Rippa Italy
Hsi-Wen Yeh United States
Aymen Shatnawi United States
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Citations per field
00.5×1.6×
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Citations per year

Countries citing papers authored by Steve Jia

Since Specialization
Citations

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

Fields of papers citing papers by Steve Jia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

9 of 9 papers shown
#Work
1 1996126
2 199280
3 199652
4 199449
5 200617
6 20196
7 20185
8 20205
9 20223

About Steve Jia

Steve Jia is a scholar working on Molecular Biology, Oncology, Genetics, Immunology and Reproductive Medicine, having authored 9 papers that have together received 343 indexed citations. Recurring topics across this work include Cancer-related gene regulation (3 papers), Microbial metabolism and enzyme function (2 papers), PARP inhibition in cancer therapy (2 papers), Ovarian cancer diagnosis and treatment (2 papers), Medicinal Plant Pharmacodynamics Research (1 paper), Insect and Pesticide Research (1 paper), Cancer Research and Treatments (1 paper) and Reproductive System and Pregnancy (1 paper). The work is most often cited by research in Cancer Research (90 citations), Molecular Biology (214 citations), Clinical Biochemistry (18 citations), Obstetrics and Gynecology (19 citations) and Biotechnology (21 citations). Steve Jia has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Paul A. Friedman, Andrew M. Stern, Suzanne de la Monte, Jack R. Wands, Mitsuru Nishiyama, William J. VanDusen, Keith Elliston, Nancy E. Kohl, Richard A. Dixon and Ronald E. Diehl. Their work appears in journals such as Biology of Reproduction, Journal of Investigative Medicine, Journal of Biological Chemistry, Journal of Clinical Investigation and Current Pharmaceutical Biotechnology.

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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