Tom K. Kerppola

11.8k citations
83 papers · 9.6k indexed · 5 hit papers · h-index 44
Topics
Genomics and Chromatin Dynamics (25 papers)Ubiquitin and proteasome pathways (16 papers)Advanced Fluorescence Microscopy Techniques (15 papers)

In The Last Decade

Tom K. Kerppola

83 papers receiving 9.5k citations

Hit Papers

Visualization of Interactions among bZIP and Rel Family P...1993202620042015200219932003200120084008001.2k

Peers

Tom K. Kerppola
Comparison fields: 5 of 133
  • Molecular Biology 7.4k
  • Immunology 1.4k
  • Cell Biology 1.2k
  • Oncology 1.1k
  • Genetics 950
Replace Keith V. Wood with:
Keith V. Wood United States
Kees Jalink Netherlands
Maria Carmo‐Fonseca Portugal
Gordon L. Hager United States
Alexander Sorkin United States
Hiroaki Miki Japan
Thomas J. Wandless United States
Stephen Lockett United States
Ichiro Yahara Japan
Thomas Machleidt United States
Tom K. Kerppola relative to Keith V. Wood United States Keith V. Wood's profile →
Citations per field
00.5×1.5×1.8×
Keith V. Wood · 1×
Citations per year

Countries citing papers authored by Tom K. Kerppola

Since Specialization
Citations

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

Fields of papers citing papers by Tom K. Kerppola

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tom K. Kerppola. 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 Tom K. Kerppola. The network helps show where Tom K. Kerppola may publish in the future.

Co-authorship network of co-authors of Tom K. Kerppola

This figure shows the co-authorship network connecting the top 25 collaborators of Tom K. Kerppola. A scholar is included among the top collaborators of Tom K. Kerppola based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Tom K. Kerppola. Tom K. Kerppola is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 23
2 4
3 19
4 170
5 105
6 108
7 2
8 336
9 109
10 32
11 399
12
Visualization of Interactions among bZIP and Rel Family Proteins in Living Cells Using Bimolecular Fluorescence Complementationbreakdown →
1256
13
Close encounters of many kinds: Fos-Jun interactions that mediate transcription regulatory specificitybreakdown →
576
14 24
15 11
16 8
17 14
18 56
19 7
20 43

About Tom K. Kerppola

Tom K. Kerppola is a scholar working on Biophysics, Aging and Molecular Biology, having authored 83 papers that have together received 9.6k indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (25 papers), Ubiquitin and proteasome pathways (16 papers) and Advanced Fluorescence Microscopy Techniques (15 papers). The work is most often cited by research in Biophysics (735 citations), Molecular Biology (7.4k citations) and Aging (131 citations). Tom K. Kerppola has collaborated with scholars based in United States, Switzerland and Japan. Frequent co-authors include Tom Curran, Chang-Deng Hu, Yurii Chinenov, Caroline M. Kane, Jugnu Jain, Daniel Luk, Arjun A. Rao, Zoe Miner, Asya V. Grinberg and Claudius Vincenz. Their work appears in journals such as Nature, Science and Cell.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026