Thomas M. Huckaba

858 citations
17 papers · 676 · h-index 12

Impact in

    • Microtubule and mitosis dynamics
    • Cellular Mechanics and Interactions
    • Cellular transport and secretion
  • Aging top 10%

Papers in

    • Fungal and yeast genetics research 6
    • Microtubule and mitosis dynamics 6
    • Cellular transport and secretion 4
    • Cellular Mechanics and Interactions 4

Thomas M. Huckaba

16 papers receiving 667 citations

Peers

Thomas M. Huckaba
Comparison fields: 5 of 72
  • Cell Biology 356
  • Aging 27
  • Molecular Biology 504
  • Cellular and Molecular Neuroscience 98
  • Biophysics 29
Replace Mark C. Surka with:
Mark C. Surka Canada
Maria A.W.H. van Waarde Netherlands
Brant M. Webster United States
Sara K. Donnelly United States
Arrate Mallabiabarrena Spain
Cristina Claverı́a Spain
Francisco Lázaro‐Diéguez Spain
Cécile Sauvanet France
Richard I. Tuxworth United Kingdom
Kira Späte Germany
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Citations per field
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Mark C. Surka · 1×
Citations per year

Countries citing papers authored by Thomas M. Huckaba

Since Specialization
Citations

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

Fields of papers citing papers by Thomas M. Huckaba

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 2004149
2 2004143
3 200673
4 200669
5 201355
6 200341
7 201040
8 201931
9 201720
10 201617
11 202212
12 201612
13 20029
14 20163
15 20241
16 20201
17 20240

About Thomas M. Huckaba

Thomas M. Huckaba is a scholar working on Molecular Biology, Cell Biology, Cellular and Molecular Neuroscience, Oncology and Physiology, having authored 17 papers that have together received 676 indexed citations. Recurring topics across this work include Fungal and yeast genetics research (6 papers), Microtubule and mitosis dynamics (6 papers), Cellular transport and secretion (4 papers), Cellular Mechanics and Interactions (4 papers), Peptidase Inhibition and Analysis (3 papers), Genetic Neurodegenerative Diseases (3 papers), Protease and Inhibitor Mechanisms (2 papers) and Reproductive biology and impacts on aquatic species (2 papers). The work is most often cited by research in Cell Biology (356 citations), Aging (27 citations), Molecular Biology (504 citations), Cellular and Molecular Neuroscience (98 citations) and Biophysics (29 citations). Thomas M. Huckaba has collaborated with scholars based in United States and India. Frequent co-authors include Liza A. Pon, Hyeong‐Cheol Yang, Gregg G. Gundersen, Christina H. Eng, Edward Wojcik, Sunyoung Kim, István Boldogh, Athar H. Chishti, Ronald D. Vale and James E. Wilhelm. Their work appears in journals such as The Journal of Cell Biology, Current Biology, Journal of Fish Biology, Molecular Biology of the Cell and Gene.

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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