M. S. Blake

4.6k citations
50 papers · 3.9k indexed · 1 hit paper · h-index 30

M. S. Blake

50 papers receiving 3.7k citations

Hit Papers

A rapid, sensitive method for detection of alkaline phosp...2.0k198420261998201250010001.5k2.0k

Peers

M. S. Blake
Comparison fields: 5 of 120
  • Microbiology 1.3k
  • Endocrinology 222
  • Immunology 622
  • Molecular Biology 1.7k
  • Infectious Diseases 400
Replace Kenneth H. Johnston with:
Kenneth H. Johnston United States
Richard F. Rest United States
Willie F. Vann United States
A. C. Wardlaw United Kingdom
Agathe Subtil France
David G. Klapper United States
John K. Spitznagel United States
Timothy A. Mietzner United States
Peter Hoogerhout Netherlands
Michael Morr Germany
M. S. Blake relative to Kenneth H. Johnston United States Kenneth H. Johnston's profile →
Citations per field
00.5×
Kenneth H. Johnston · 1×
Citations per year

Countries citing papers authored by M. S. Blake

Since Specialization
Citations

This map shows the geographic impact of M. S. Blake'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. Blake 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. Blake more than expected).

Fields of papers citing papers by M. S. Blake

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 200129
2 200075
3 199922
4 199833
5 199830
6 199830
7 199749
8 199768
9 199675
10 199338
11 199246
12 19917
13 198930
14 198923
15 19893
16 198857
17 19874
18 198620
19 198492
20 198476

About M. S. Blake

M. S. Blake is a scholar working on Microbiology, Endocrinology, Parasitology, Radiology, Nuclear Medicine and Imaging and Genetics, having authored 50 papers that have together received 3.9k indexed citations. Recurring topics across this work include Bacterial Infections and Vaccines (26 papers), Monoclonal and Polyclonal Antibodies Research (12 papers), Reproductive tract infections research (10 papers), Bacterial Genetics and Biotechnology (10 papers), Pneumonia and Respiratory Infections (8 papers), Glycosylation and Glycoproteins Research (6 papers), Streptococcal Infections and Treatments (6 papers) and Neonatal and Maternal Infections (6 papers). The work is most often cited by research in Microbiology (1.3k citations), Endocrinology (222 citations), Immunology (622 citations), Molecular Biology (1.7k citations) and Infectious Diseases (400 citations). M. S. Blake has collaborated with scholars based in United States, Australia and Trinidad and Tobago. Frequent co-authors include E C Gotschlich, G.J. Russell-Jones, Kenneth H. Johnston, Lee M. Wetzler, J Y Tai, J Swanson, M. A. Apicella, Nurit Porat, Michael Seiff and Conceição A.S.A. Minetti. Their work appears in journals such as Infection and Immunity, The Journal of Experimental Medicine, The Journal of Infectious Diseases, Advances in experimental medicine and biology and Journal of Biological Chemistry.

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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