Greg Tucker‐Kellogg

3.5k citations
29 papers · 1.5k indexed · 1 hit paper · h-index 16

Impact in

  • Aging top 2%
    • Genetics, Aging, and Longevity in Model Organisms
    • Antimicrobial Resistance in Staphylococcus

Papers in

Greg Tucker‐Kellogg

29 papers receiving 1.5k citations

Hit Papers

Transcription Profiling-Based Identification of Staphylococcus aureus Genes Regulated by the agr and/or sarA Loci 2001 · 511 citations
5112001202620092017100200300400500

Peers

Greg Tucker‐Kellogg
Comparison fields: 5 of 121
  • Aging 128
  • Infectious Diseases 398
  • Molecular Biology 1.2k
  • Microbiology 76
  • Cancer Research 145
Replace Traude H. Beilharz with:
Traude H. Beilharz Australia
Yuxin Mao United States
Yibin Xu Australia
Sebastian Schuck Germany
Lucas T. Jae Germany
Emma W Vaimberg United States
Sergey E. Dmitriev Russia
Joseph T. Bruder United States
Young-Joon Kim South Korea
Vincent A. Blomen Netherlands
Greg Tucker‐Kellogg relative to Traude H. Beilharz Australia Traude H. Beilharz's profile →
Citations per field
00.5×3.2×
Traude H. Beilharz · 1×
Citations per year

Countries citing papers authored by Greg Tucker‐Kellogg

Since Specialization
Citations

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

Fields of papers citing papers by Greg Tucker‐Kellogg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Greg Tucker‐Kellogg. 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 Greg Tucker‐Kellogg. The network helps show where Greg Tucker‐Kellogg may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20243
2 20224
3 202115
4 202124
5 2021172
6 202051
7 20207
8 202014
9 20175
10 201614
11 201537
12 201323
13 201212
14 201217
15 20101
16 201057
17 200910
18 200191
19 199617
20 199513

About Greg Tucker‐Kellogg

Greg Tucker‐Kellogg is a scholar working on Aging, Cancer Research, Neurology, Molecular Biology and Genetics, having authored 29 papers that have together received 1.5k indexed citations. Recurring topics across this work include Amyotrophic Lateral Sclerosis Research (5 papers), MicroRNA in disease regulation (4 papers), Genomics and Chromatin Dynamics (3 papers), Chromosomal and Genetic Variations (3 papers), RNA Research and Splicing (3 papers), Mitochondrial Function and Pathology (2 papers), Glioma Diagnosis and Treatment (2 papers) and Cell death mechanisms and regulation (2 papers). The work is most often cited by research in Aging (128 citations), Infectious Diseases (398 citations), Molecular Biology (1.2k citations), Microbiology (76 citations) and Cancer Research (145 citations). Greg Tucker‐Kellogg has collaborated with scholars based in Singapore, United States and Australia. Frequent co-authors include Craig P. Hunter, Eugene L. Brown, Andrew A. Hill, Robert J. Zagursky, Shun‐Fan Wu, Steven J. Projan, David M. Shlaes, Daniela Palacios, Eric L. Brown and Ellen Murphy. Their work appears in journals such as BMC Genomics, eLife, Proceedings of the National Academy of Sciences, Virus Research and Clinical Cancer Research.

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