T. A. Webster

1.2k citations
11 papers · 1.0k indexed · h-index 9

Impact in

  • Genetics top 5%
    • Bacterial Genetics and Biotechnology
    • Virus-based gene therapy research
    • Gene expression and cancer classification
    • RNA and protein synthesis mechanisms
    • Genomics and Phylogenetic Studies
    • Molecular Biology Techniques and Applications

Papers in

T. A. Webster

10 papers receiving 1.0k citations

Peers

T. A. Webster
Comparison fields: 5 of 90
  • Genetics 375
  • Molecular Biology 710
  • Oncology 182
  • Aging 8
  • Cancer Research 59
Replace Barbara E. Pearson with:
Barbara E. Pearson United States
Burkhard Kröger Germany
Karel H. M. van Wely Spain
Jean‐Pierre Rousset France
Oliver Pusch Austria
Paolo Amati Italy
Nikola Kaludov United States
Shinako Takada Japan
Gökhan Tolun United States
I Bikel United States
T. A. Webster relative to Barbara E. Pearson United States Barbara E. Pearson's profile →
Citations per field
00.5×
Barbara E. Pearson · 1×
Citations per year

Countries citing papers authored by T. A. Webster

Since Specialization
Citations

This map shows the geographic impact of T. A. Webster'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 T. A. Webster with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. A. Webster more than expected).

Fields of papers citing papers by T. A. Webster

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by T. A. Webster. 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 T. A. Webster. The network helps show where T. A. Webster may publish in the future.

Co-authors

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

All Works

11 of 11 papers shown
#Work
1 20155
2 2005135
3 2002374
4 20020
5 19898
6 1988117
7 1988195
8 198710
9 198797
10 198365
11 198231

About T. A. Webster

T. A. Webster is a scholar working on Genetics, Clinical Biochemistry, Molecular Biology, Rheumatology and Plant Science, having authored 11 papers that have together received 1.0k indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (5 papers), Protein Structure and Dynamics (2 papers), Machine Learning in Bioinformatics (2 papers), Bacterial Genetics and Biotechnology (2 papers), Gene expression and cancer classification (2 papers), Genetic Mapping and Diversity in Plants and Animals (2 papers), Enzyme Structure and Function (2 papers) and RNA Research and Splicing (1 paper). The work is most often cited by research in Genetics (375 citations), Molecular Biology (710 citations), Oncology (182 citations), Aging (8 citations) and Cancer Research (59 citations). T. A. Webster has collaborated with scholars based in United States. Frequent co-authors include Temple F. Smith, Rui Mei, Earl Hubbell, Alfred L. Goldberg, Tracey A. Smith, Stephen A. Goff, David T. Chin, Sanne P. Smeekens, Thomas B. Ryder and Christina A. Harrington. Their work appears in journals such as Journal of Biological Chemistry, Molecular Biology and Evolution, Bioinformatics, Archives of Biochemistry and Biophysics and Journal of Virology.

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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