Thomas Baranski

4.0k citations
69 papers · 3.0k · h-index 29

Impact in

Papers in

Thomas Baranski

65 papers receiving 3.0k citations

Peers

Thomas Baranski
Comparison fields: 5 of 114
  • Aging 375
  • Cellular and Molecular Neuroscience 1.1k
  • Molecular Biology 1.7k
  • Physiology 110
  • Immunology 484
Replace Masamitsu Yamaguchi with:
Masamitsu Yamaguchi Japan
Kathy Beckingham United States
James C. Clemens United States
Ville Hietakangas Finland
Jason M. Tennessen United States
Charles S. Rubin United States
Anatoli B. Meriin United States
Benoît Biteau United States
Guangwei Du United States
Lynne Chantranupong United States
Thomas Baranski relative to Masamitsu Yamaguchi Japan Masamitsu Yamaguchi's profile →
Citations per field
00.5×4.4×
Masamitsu Yamaguchi · 1×
Citations per year

Countries citing papers authored by Thomas Baranski

Since Specialization
Citations

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

Fields of papers citing papers by Thomas Baranski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 69 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011417
2 2013191
3 1999157
4 2005133
5 2011128
6 1990123
7 1999117
8 2003108
9 2013105
10 201394
11 199094
12 201379
13 199170
14 200166
15 202064
16 200061
17 199958
18 200357
19 199257
20 201556

About Thomas Baranski

Thomas Baranski is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Radiology, Nuclear Medicine and Imaging, Immunology and Endocrinology, Diabetes and Metabolism, having authored 69 papers that have together received 3.0k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (25 papers), Monoclonal and Polyclonal Antibodies Research (12 papers), Genetics, Aging, and Longevity in Model Organisms (10 papers), Neurobiology and Insect Physiology Research (10 papers), Neuropeptides and Animal Physiology (8 papers), Complement system in diseases (7 papers), Thyroid Cancer Diagnosis and Treatment (7 papers) and Cellular transport and secretion (6 papers). The work is most often cited by research in Aging (375 citations), Cellular and Molecular Neuroscience (1.1k citations), Molecular Biology (1.7k citations), Physiology (110 citations) and Immunology (484 citations). Thomas Baranski has collaborated with scholars based in United States, Belgium and Denmark. Frequent co-authors include Laura Palanker Musselman, Ross Cagan, Kirk Narzinski, Jill L. Fink, Stuart Kornfeld, Prasanna Venkatesh Ramachandran, Jeffery M. Klco, Henry R. Bourne, Gregory V. Nikiforovich and Taroh Iiri. Their work appears in journals such as Journal of Biological Chemistry, Proteins Structure Function and Bioinformatics, Disease Models & Mechanisms, Cell and Biochemistry.

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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