Steven M. Jay

17.8k citations
83 papers · 5.3k indexed · 1 hit paper · h-index 36

Impact in

Papers in

Steven M. Jay

78 papers receiving 5.2k citations

Hit Papers

Growth Differentiation Factor 11 Is a Circulating Factor that Reverses Age-Related Cardiac Hypertrophy 2013 · 699 citations
6992013202620172021200400600

Peers

Steven M. Jay
Comparison fields: 5 of 138
  • Cancer Research 1.3k
  • Biomaterials 995
  • Aging 108
  • Molecular Biology 3.3k
  • Genetics 424
Replace Ke Cheng with:
Ke Cheng United States
Betty Nusgens Belgium
Alain Colige Belgium
Chen‐Hsiang Kuan Taiwan
James A. Martin United States
Serena Zacchigna Italy
Lorena Zentilin Italy
Henning Madry Germany
Lonnie D. Shea United States
Steven M. Jay relative to Ke Cheng United States Ke Cheng's profile →
Citations per field
00.5×4.3×
Ke Cheng · 1×
Citations per year

Countries citing papers authored by Steven M. Jay

Since Specialization
Citations

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

Fields of papers citing papers by Steven M. Jay

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Steven M. Jay. 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 Steven M. Jay. The network helps show where Steven M. Jay may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20251
3 20250
4 20233
5 202339
6 202193
7 202030
8 201920
9 2018112
10 20175
11 201725
12 20172
13 2017346
14 2016296
15 2012408
16
Engineered Bivalent Ligands to Bias ErbB Receptor-mediated Signaling and Phenotypes
20119
17 201121
18 200937
19 200935
20 20061

About Steven M. Jay

Steven M. Jay is a scholar working on Cancer Research, Biomaterials, Molecular Biology, Microbiology and Pharmaceutical Science, having authored 83 papers that have together received 5.3k indexed citations. Recurring topics across this work include Extracellular vesicles in disease (43 papers), MicroRNA in disease regulation (20 papers), Electrospun Nanofibers in Biomedical Applications (16 papers), Tissue Engineering and Regenerative Medicine (15 papers), RNA Interference and Gene Delivery (13 papers), HER2/EGFR in Cancer Research (5 papers), 3D Printing in Biomedical Research (5 papers) and Monoclonal and Polyclonal Antibodies Research (5 papers). The work is most often cited by research in Cancer Research (1.3k citations), Biomaterials (995 citations), Aging (108 citations), Molecular Biology (3.3k citations) and Genetics (424 citations). Steven M. Jay has collaborated with scholars based in United States, China and Singapore. Frequent co-authors include Anjana Jeyaram, Tek N. Lamichhane, W. Mark Saltzman, Divya Patel, John S. Schardt, John P. Fisher, Themis R. Kyriakides, Louis J. Born, Jordan S. Pober and Richard Lee. Their work appears in journals such as Bioengineering & Translational Medicine, Advanced Healthcare Materials, Cytotherapy, Tissue Engineering Part A and Science Translational Medicine.

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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