Thomas J. Albert

5.4k citations
29 papers · 3.4k indexed · h-index 23

Impact in

  • Genetics top 1%
    • Genomics and Rare Diseases
    • Genomic variations and chromosomal abnormalities
    • Genomics and Phylogenetic Studies
    • RNA and protein synthesis mechanisms
    • CRISPR and Genetic Engineering
    • RNA modifications and cancer

Papers in

Thomas J. Albert

29 papers receiving 3.3k citations

Peers

Thomas J. Albert
Comparison fields: 5 of 128
  • Genetics 1.2k
  • Molecular Biology 2.2k
  • Cancer Research 374
  • Endocrinology 100
  • Infectious Diseases 356
Replace Daniel J. Turner with:
Daniel J. Turner United Kingdom
Liliana Florea United States
Joseph A. Sorge United States
Rui Fang China
E. D. Sverdlov Russia
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Thomas J. Albert relative to Daniel J. Turner United Kingdom Daniel J. Turner's profile →
Citations per field
00.5×1.5×2.2×
Daniel J. Turner · 1×
Citations per year

Countries citing papers authored by Thomas J. Albert

Since Specialization
Citations

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

Fields of papers citing papers by Thomas J. Albert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 201595
2 20141
3 2014100
4 2011113
5 2010155
6 2010120
7 201062
8 2009144
9 200861
10 200855
11 2007468
12 20075
13 2007276
14 200686
15 200655
16 2006292
17 2005145
18 200498
19 200381
20 200011

About Thomas J. Albert

Thomas J. Albert is a scholar working on Aging, Endocrinology, Molecular Biology, Genetics and Infectious Diseases, having authored 29 papers that have together received 3.4k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (8 papers), RNA and protein synthesis mechanisms (5 papers), Gene expression and cancer classification (5 papers), Genomics and Chromatin Dynamics (4 papers), Bacteriophages and microbial interactions (3 papers), RNA Research and Splicing (3 papers), Viral gastroenteritis research and epidemiology (2 papers) and Genetic Associations and Epidemiology (2 papers). The work is most often cited by research in Genetics (1.2k citations), Molecular Biology (2.2k citations), Cancer Research (374 citations), Endocrinology (100 citations) and Infectious Diseases (356 citations). Thomas J. Albert has collaborated with scholars based in United States, Switzerland and Sweden. Frequent co-authors include Michael Molla, Todd Richmond, Matthew J. Rodesch, Christina M. Middle, Jason E. Norton, Richard A. Gibbs, David J. Cutler, Karyn Meltz Steinberg, David T. Okou and Michael E. Zwick. Their work appears in journals such as Genome Research, Nature Methods, Genome biology, Nature Genetics and Molecular and Biochemical Parasitology.

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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