M S Co

1.3k citations
17 papers · 1.1k · h-index 15

Impact in

Papers in

M S Co

17 papers receiving 1.0k citations

Peers

M S Co
Comparison fields: 5 of 83
  • Radiology, Nuclear Medicine and Imaging 441
  • Infectious Diseases 218
  • Immunology 234
  • Immunology and Allergy 54
  • Hematology 82
Replace Dianne M. Fishwild with:
Dianne M. Fishwild United States
C. R. Bebbington United Kingdom
William P. Sisk United States
Gabriela Canziani United States
Mitchell E. Reff United States
J H Freed United States
Kenneth LeClair United States
Sylvie Rouyre France
Pascale Duplay Canada
Catherine Desaymard France
M S Co relative to Dianne M. Fishwild United States Dianne M. Fishwild's profile →
Citations per field
00.5×1.5×1.8×
Dianne M. Fishwild · 1×
Citations per year

Countries citing papers authored by M S Co

Since Specialization
Citations

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

Fields of papers citing papers by M S Co

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 1986148
2 1992125
3
Biological and immunological features of humanized M195 (anti-CD33) monoclonal antibodies.
1992117
4 1988115
5 1985110
6 1991108
7 198588
8 198169
9 199352
10
Humanized anti-Lewis Y antibodies: in vitro properties and pharmacokinetics in rhesus monkeys.
199639
11 199237
12 199433
13 198430
14 198220
15 199418
16 19846
17 19922

About M S Co

M S Co is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging, Infectious Diseases, Genetics and Pathology and Forensic Medicine, having authored 17 papers that have together received 1.1k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (8 papers), Protein purification and stability (4 papers), Glycosylation and Glycoproteins Research (3 papers), Viral gastroenteritis research and epidemiology (3 papers), Transgenic Plants and Applications (2 papers), CAR-T cell therapy research (2 papers), Cell Adhesion Molecules Research (2 papers) and Virus-based gene therapy research (2 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (441 citations), Infectious Diseases (218 citations), Immunology (234 citations), Immunology and Allergy (54 citations) and Hematology (82 citations). M S Co has collaborated with scholars based in United States and Japan. Frequent co-authors include Cary Queen, Bernard N. Fields, Glen N. Gaulton, N M Avdalovic, M I Greene, Philip Caron, Richard J. Whitley, Marina Deschamps, David A. Scheinberg and Max L. Nibert. Their work appears in journals such as Proceedings of the National Academy of Sciences, The Journal of Immunology, Journal of Virology, Journal of Immunotherapy and Molecular and Cellular Biochemistry.

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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