Thomas Neill

12.6k citations
46 papers · 3.3k · h-index 31

Impact in

Papers in

    • Glycosylation and Glycoproteins Research 11
    • Fibroblast Growth Factor Research 11
    • Angiogenesis and VEGF in Cancer 5
    • Proteoglycans and glycosaminoglycans research 26
    • Hippo pathway signaling and YAP/TAZ 3

Thomas Neill

46 papers receiving 3.3k citations

Peers

Thomas Neill
Comparison fields: 5 of 116
  • Cell Biology 1.7k
  • Immunology and Allergy 468
  • Cancer Research 618
  • Molecular Biology 1.7k
  • Epidemiology 543
Replace Hisako Muramatsu with:
Hisako Muramatsu Japan
Andrés F. Muro Italy
R. Grant Rowe United States
Markku Salmivirta Finland
Kyunghee Choi United States
Mikio Kan United States
Norihisa Matsuyoshi Japan
Jennifer J. Hofmann United States
Shuan Shian Huang United States
D. S. Grant United States
Thomas Neill relative to Hisako Muramatsu Japan Hisako Muramatsu's profile →
Citations per field
00.5×5.1×
Hisako Muramatsu · 1×
Citations per year

Countries citing papers authored by Thomas Neill

Since Specialization
Citations

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

Fields of papers citing papers by Thomas Neill

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018290
2 2012249
3 2018209
4 2013169
5 2016160
6 2011141
7 2015134
8 2015117
9 2010110
10 2015108
11 2016101
12 2011100
13 201489
14 201478
15 201478
16 201477
17 201277
18 201471
19 201770
20 201567

About Thomas Neill

Thomas Neill is a scholar working on Molecular Biology, Cell Biology, Epidemiology, Cancer Research and Immunology and Allergy, having authored 46 papers that have together received 3.3k indexed citations. Recurring topics across this work include Proteoglycans and glycosaminoglycans research (26 papers), Autophagy in Disease and Therapy (13 papers), Glycosylation and Glycoproteins Research (11 papers), Fibroblast Growth Factor Research (11 papers), Cell Adhesion Molecules Research (8 papers), Protease and Inhibitor Mechanisms (5 papers), Angiogenesis and VEGF in Cancer (5 papers) and Hippo pathway signaling and YAP/TAZ (3 papers). The work is most often cited by research in Cell Biology (1.7k citations), Immunology and Allergy (468 citations), Cancer Research (618 citations), Molecular Biology (1.7k citations) and Epidemiology (543 citations). Thomas Neill has collaborated with scholars based in United States, Germany and Italy. Frequent co-authors include Renato V. Iozzo, Liliana Schaefer, Simone Buraschi, Rick T. Owens, Nikos K. Karamanos, Achilleas D. Theocharis, Maria A. Gubbiotti, Atul Kumar Goyal, Chiara Poluzzi and Annabel Torres. Their work appears in journals such as Matrix Biology, Journal of Biological Chemistry, American Journal Of Pathology, FEBS Journal and Cancers.

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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