Teaster Baird

703 citations
17 papers · 605 · h-index 10

Impact in

Papers in

    • Protease and Inhibitor Mechanisms 5
    • Enzyme function and inhibition 4
    • Genetics, Bioinformatics, and Biomedical Research 2
    • Protein Structure and Dynamics 2
    • Chemical Synthesis and Analysis 2

Teaster Baird

17 papers receiving 584 citations

Peers

Teaster Baird
Comparison fields: 5 of 83
  • Molecular Biology 335
  • Pharmaceutical Science 25
  • Physical and Theoretical Chemistry 32
  • Education 88
  • Process Chemistry and Technology 4
Replace Russell R. A. Kitson with:
Russell R. A. Kitson United Kingdom
R. David Crouch United States
Fehmi Damkaci United States
Steven A. Fleming United States
Amelia A. Fuller United States
Michael J. D. Brand Israel
O. Maduka Ogba United States
Frances Heaney Ireland
Silvio do Desterro Cunha Brazil
Jeffrey L. Katz United States
Teaster Baird relative to Russell R. A. Kitson United Kingdom Russell R. A. Kitson's profile →
Citations per field
00.5×1.5×2×2.3×
Russell R. A. Kitson · 1×
Citations per year

Countries citing papers authored by Teaster Baird

Since Specialization
Citations

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

Fields of papers citing papers by Teaster Baird

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 1997132
2 2000121
3 2013100
4 199971
5 199557
6 200628
7 199327
8 200014
9 201712
10 200010
11 20129
12 20158
13 19946
14 20126
15 20162
16 20131
17 20161

About Teaster Baird

Teaster Baird is a scholar working on Cancer Research, Molecular Biology, Organic Chemistry, Microbiology and Molecular Medicine, having authored 17 papers that have together received 605 indexed citations. Recurring topics across this work include Protease and Inhibitor Mechanisms (5 papers), Enzyme function and inhibition (4 papers), Genetics, Bioinformatics, and Biomedical Research (2 papers), Science Education and Pedagogy (2 papers), Protein Structure and Dynamics (2 papers), Polydiacetylene-based materials and applications (2 papers), Chemical Synthesis and Analysis (2 papers) and Antimicrobial Peptides and Activities (1 paper). The work is most often cited by research in Molecular Biology (335 citations), Pharmaceutical Science (25 citations), Physical and Theoretical Chemistry (32 citations), Education (88 citations) and Process Chemistry and Technology (4 citations). Teaster Baird has collaborated with scholars based in United States. Frequent co-authors include Carol A. Fierke, David W. Christianson, William S. Sly, Torayuki Okuyama, Abdül Waheed, Charles S. Craik, Ahamindra Jain, Jeanne S. Chang, Jeffrey B. Doyon and Chu‐Young Kim. Their work appears in journals such as Journal of the American Chemical Society, Protein Science, The FASEB Journal, Biochemistry and Chemistry of Materials.

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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