Thomas E. McCann

810 citations
17 papers · 657 · h-index 12

Impact in

Papers in

Thomas E. McCann

17 papers receiving 619 citations

Peers

Thomas E. McCann
Comparison fields: 5 of 98
  • Developmental Neuroscience 54
  • Cell Biology 195
  • Cellular and Molecular Neuroscience 200
  • Endocrinology 31
  • Molecular Medicine 20
Replace Kathryn M. Schultz with:
Kathryn M. Schultz United States
Daniel M. Balkin United States
Hsing‐Yin Liu United States
L. Callegaro Italy
Sukhen C. Ghosh United States
Kavitha S. Rao United States
Nico van Rooijen Netherlands
Dongsheng Zhang China
Hongsheng Lin China
Stephen H. Cody Australia
Thomas E. McCann relative to Kathryn M. Schultz United States Kathryn M. Schultz's profile →
Citations per field
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Kathryn M. Schultz · 1×
Citations per year

Countries citing papers authored by Thomas E. McCann

Since Specialization
Citations

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

Fields of papers citing papers by Thomas E. McCann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 2008194
2 2007103
3 200863
4 201151
5 196749
6 201039
7 201231
8 197431
9 201021
10 201419
11 201015
12 201211
13 197611
14 201010
15 20146
16 20142
17 19751

About Thomas E. McCann

Thomas E. McCann is a scholar working on Pulmonary and Respiratory Medicine, Molecular Biology, Biomedical Engineering, Cell Biology and Biotechnology, having authored 17 papers that have together received 657 indexed citations. Recurring topics across this work include Nanoplatforms for cancer theranostics (4 papers), Cancer Research and Treatments (3 papers), Nerve injury and regeneration (2 papers), Glycosylation and Glycoproteins Research (2 papers), Proteoglycans and glycosaminoglycans research (2 papers), Protein purification and stability (2 papers), Photodynamic Therapy Research Studies (2 papers) and Hepatocellular Carcinoma Treatment and Prognosis (1 paper). The work is most often cited by research in Developmental Neuroscience (54 citations), Cell Biology (195 citations), Cellular and Molecular Neuroscience (200 citations), Endocrinology (31 citations) and Molecular Medicine (20 citations). Thomas E. McCann has collaborated with scholars based in United States, United Kingdom and Spain. Frequent co-authors include Herbert M. Geller, Hang Wang, Yasuhiro Katagiri, Tracy L. Laabs, Hisataka Kobayashi, Peter L. Choyke, Nobuyuki Kosaka, Makoto Mitsunaga, James W. Fawcett and Edward J. Unsworth. Their work appears in journals such as Infection and Immunity, Bioconjugate Chemistry, Radiologic Clinics of North America, Journal of Neuroscience and Clinical Radiology.

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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