Scott Lonning

4.7k citations
39 papers · 3.6k indexed · 1 hit paper · h-index 28

Scott Lonning

38 papers receiving 3.5k citations

Hit Papers

Protection from Obesity and Diabetes by Blockade of TGF-β...5532011202620162021100200300400500

Peers

Scott Lonning
Comparison fields: 5 of 103
  • Oncology 1.4k
  • Immunology 979
  • Cancer Research 404
  • Molecular Biology 1.6k
  • Immunology and Allergy 133
Replace Galen H. Fisher with:
Galen H. Fisher United States
Ben-Zion Levi Israel
Bruno Azzarone France
Jason A. Hackney United States
Motoo Kitagawa Japan
Nobuo Kanazawa Japan
Akihiko Ito Japan
Sheri M. Krams United States
Clemens Scheinecker Austria
Barbara Valentinis United States
Scott Lonning relative to Galen H. Fisher United States Galen H. Fisher's profile →
Citations per field
00.5×7.1×
Galen H. Fisher · 1×
Citations per year

Countries citing papers authored by Scott Lonning

Since Specialization
Citations

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

Fields of papers citing papers by Scott Lonning

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 201451
2 201462
3 201371
4 201277
5 201260
6
Protection from Obesity and Diabetes by Blockade of TGF-β/Smad3 Signalingbreakdown →
2011553
7 201157
8 201177
9 2010175
10 200994
11 200983
12 2008198
13 2008187
14 200878
15 2008174
16 2007362
17 2007117
18 200672
19 2003111
20 200030

About Scott Lonning

Scott Lonning is a scholar working on Virology, Oncology, Cancer Research, Immunology and Molecular Biology, having authored 39 papers that have together received 3.6k indexed citations. Recurring topics across this work include TGF-β signaling in diseases (14 papers), Cancer Cells and Metastasis (8 papers), HIV Research and Treatment (4 papers), Cancer, Hypoxia, and Metabolism (4 papers), Bone Metabolism and Diseases (4 papers), Virus-based gene therapy research (3 papers), Immunotherapy and Immune Responses (3 papers) and Bone health and treatments (3 papers). The work is most often cited by research in Oncology (1.4k citations), Immunology (979 citations), Cancer Research (404 citations), Molecular Biology (1.6k citations) and Immunology and Allergy (133 citations). Scott Lonning has collaborated with scholars based in United States, Malaysia and South Korea. Frequent co-authors include Christina H. Stuelten, Jay A. Berzofsky, Masaki Terabe, Mary Helen Barcellos‐Hoff, John M. McPherson, Beverly A. Teicher, Chung Lee, Ximing J. Yang, Thomas L. Jang and Irwin Park. Their work appears in journals such as Cancer Research, Clinical Cancer Research, Journal of Virology, PLoS ONE and Molecular Cancer Therapeutics.

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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