Thomas N. Huckerby

3.2k citations
161 papers · 2.6k indexed · h-index 30

Thomas N. Huckerby

161 papers receiving 2.5k citations

Peers

Thomas N. Huckerby
Comparison fields: 5 of 119
  • Cell Biology 1.1k
  • Organic Chemistry 906
  • Molecular Medicine 99
  • Polymers and Plastics 245
  • Biotechnology 141
Replace Mark D. Distefano with:
Mark D. Distefano United States
Ye Zhang China
Abraham Patchornik Israel
Shoichiro Ozaki Japan
György Dormán Hungary
Eugene S. Stevens United States
Scott A. White United Kingdom
Natalia A. Chebotareva Russia
Bernard Pucci France
Sang J. Chung South Korea
Thomas N. Huckerby relative to Mark D. Distefano United States Mark D. Distefano's profile →
Citations per field
00.5×6.6×
Mark D. Distefano · 1×
Citations per year

Countries citing papers authored by Thomas N. Huckerby

Since Specialization
Citations

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

Fields of papers citing papers by Thomas N. Huckerby

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20116
2 201112
3 200514
4 20013
5 200137
6 200130
7 200053
8 200021
9
Isolation and identification of an octasaccharide chondroitin sulphate linkage region fragment.
19992
10 19997
11 19988
12 199814
13 199736
14
Characterisation of a nonreducing terminal fragment from bovine articular-cartilage keratan sulfates containing alpha(2-3)-linked sialic-acid and alpha(1-3)-linked fucose.
19962
15 199633
16 19968
17 19953
18 19958
19 19887
20
2‐シアノ‐2‐プロピルアゾホルムアミドを開始剤にして調製したメタクリル酸メチルとスチレンの重合体および共重合体の末端基のNMR研究
19846

About Thomas N. Huckerby

Thomas N. Huckerby is a scholar working on Cell Biology, Organic Chemistry and Polymers and Plastics, having authored 161 papers that have together received 2.6k indexed citations. Recurring topics across this work include Proteoglycans and glycosaminoglycans research (59 papers), Glycosylation and Glycoproteins Research (46 papers), Advanced Polymer Synthesis and Characterization (36 papers), Photopolymerization techniques and applications (27 papers), Radical Photochemical Reactions (15 papers), Carbohydrate Chemistry and Synthesis (12 papers), Synthesis and properties of polymers (11 papers) and Polysaccharides Composition and Applications (9 papers). The work is most often cited by research in Cell Biology (1.1k citations), Organic Chemistry (906 citations) and Molecular Medicine (99 citations). Thomas N. Huckerby has collaborated with scholars based in United Kingdom, Ghana and Australia. Frequent co-authors include Ian A. Nieduszynski, J. C. Bevington, Gavin M. Brown, N. J. CUSSANS, Robert M. Lauder, Paul N. Sanderson, John R. Ebdon, John M. Dickenson, Guihua Tai and Michael T. Bayliss. Their work appears in journals such as Journal of Biological Chemistry, Biochemistry and Macromolecules.

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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