Jay S. Lillquist

1.0k citations
23 papers · 861 · h-index 15

Impact in

    • Immune Response and Inflammation
    • Metabolism, Diabetes, and Cancer
    • Glycosylation and Glycoproteins Research
    • Protein Structure and Dynamics

Papers in

    • Glycosylation and Glycoproteins Research 3
    • RNA and protein synthesis mechanisms 2
    • HER2/EGFR in Cancer Research 3
    • Peptidase Inhibition and Analysis 2

Jay S. Lillquist

22 papers receiving 834 citations

Peers

Jay S. Lillquist
Comparison fields: 5 of 85
  • Immunology 152
  • Molecular Biology 485
  • Oncology 151
  • Cell Biology 92
  • Immunology and Allergy 31
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Citations per year

Countries citing papers authored by Jay S. Lillquist

Since Specialization
Citations

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

Fields of papers citing papers by Jay S. Lillquist

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1982123
2 1993110
3 1993109
4 199776
5 201566
6 198765
7 199147
8 201946
9 198432
10 201531
11 200628
12 198124
13 199323
14 198821
15 201719
16 200713
17 198412
18 19969
19 20162
20
Initiation of cell replication by cationic polypeptide hormones.
19802

About Jay S. Lillquist

Jay S. Lillquist is a scholar working on Molecular Biology, Oncology, Radiology, Nuclear Medicine and Imaging, Immunology and Cellular and Molecular Neuroscience, having authored 23 papers that have together received 861 indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (7 papers), Glycosylation and Glycoproteins Research (3 papers), HER2/EGFR in Cancer Research (3 papers), T-cell and B-cell Immunology (2 papers), Diabetes Treatment and Management (2 papers), Neuroblastoma Research and Treatments (2 papers), RNA and protein synthesis mechanisms (2 papers) and Peptidase Inhibition and Analysis (2 papers). The work is most often cited by research in Immunology (152 citations), Molecular Biology (485 citations), Oncology (151 citations), Cell Biology (92 citations) and Immunology and Allergy (31 citations). Jay S. Lillquist has collaborated with scholars based in United States and Italy. Frequent co-authors include Peter R. Young, Charles D. Stiles, Walter C. Soeller, Jai Singh, James C. Smith, John Evans, Ronald Wetzel, Boris A. Chrunyk, P L Simon and Gwenda F. Ligon. Their work appears in journals such as Journal of Biological Chemistry, Cancer Research, The Journal of Immunology, Gene and Journal of Medicinal Chemistry.

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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