Albert C. Shaw

16.0k citations
86 papers · 7.0k indexed · 2 hit papers · h-index 34

Albert C. Shaw

83 papers receiving 6.8k citations

Hit Papers

Age-dependent dysregulation of innate i...77619982026200720162505007501000

Peers

Albert C. Shaw
Comparison fields: 5 of 143
  • Immunology 3.0k
  • Biological Psychiatry 189
  • Pathology and Forensic Medicine 1.2k
  • Aging 113
  • Orthopedics and Sports Medicine 503
Replace Lia Ginaldi with:
Lia Ginaldi Italy
Massimo De Martinis Italy
Carl J. Hauser United States
Jan Ernerudh Sweden
Conny Gysemans Belgium
Arne N. Akbar United Kingdom
CA Dinarello United States
T Kishimoto Japan
Paolo Sansoni Italy
Anna Katharina Simon United Kingdom
Albert C. Shaw relative to Lia Ginaldi Italy Lia Ginaldi's profile →
Citations per field
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Lia Ginaldi · 1×
Citations per year

Countries citing papers authored by Albert C. Shaw

Since Specialization
Citations

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

Fields of papers citing papers by Albert C. Shaw

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Albert C. Shaw. 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 Albert C. Shaw. The network helps show where Albert C. Shaw may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20260
2 20253
3 20243
4 20235
5 20231
6 20239
7 202230
8 20215
9 2016186
10 201625
11 201433
12 201426
13 201297
14 201215
15 2011120
16 2010418
17 2010153
18 2007263
19 200781
20 198861

About Albert C. Shaw

Albert C. Shaw is a scholar working on Immunology, Virology, Neurology, Epidemiology and Emergency Medicine, having authored 86 papers that have together received 7.0k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (26 papers), T-cell and B-cell Immunology (20 papers), Immune Response and Inflammation (17 papers), Influenza Virus Research Studies (12 papers), Immunotherapy and Immune Responses (7 papers), Monoclonal and Polyclonal Antibodies Research (7 papers), Neuroinflammation and Neurodegeneration Mechanisms (6 papers) and Immune cells in cancer (6 papers). The work is most often cited by research in Immunology (3.0k citations), Biological Psychiatry (189 citations), Pathology and Forensic Medicine (1.2k citations), Aging (113 citations) and Orthopedics and Sports Medicine (503 citations). Albert C. Shaw has collaborated with scholars based in United States, United Kingdom and South Korea. Frequent co-authors include Ruth R. Montgomery, Daniel R. Goldstein, David van Duin, Alexander Panda, Ruslan Medzhitov, Janet M. Lord, Samit R. Joshi, Heather Allore, Subhasis Mohanty and Erol Fikrig. Their work appears in journals such as The Journal of Immunology, Aging Cell, The Journal of Infectious Diseases, Proceedings of the National Academy of Sciences and Clinical Immunology.

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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