Daniel Amsterdam

2.3k citations
109 papers · 1.8k indexed · h-index 20

Daniel Amsterdam

104 papers receiving 1.7k citations

Peers

Daniel Amsterdam
Comparison fields: 5 of 140
  • Clinical Biochemistry 227
  • Molecular Medicine 162
  • Microbiology 160
  • Infectious Diseases 354
  • Applied Microbiology and Biotechnology 33
Replace Wesley W. Spink with:
Wesley W. Spink United States
Denis Beauchamp Canada
Edward J. Wing United States
J J Pocidalo France
William T. Doerrler United States
Susan Nicholson United States
Jan Sjölin Sweden
Marco Cassone United States
Marianne S. Muhlebach United States
W. Stille Germany
Daniel Amsterdam relative to Wesley W. Spink United States Wesley W. Spink's profile →
Citations per field
00.5×6.7×
Wesley W. Spink · 1×
Citations per year

Countries citing papers authored by Daniel Amsterdam

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Amsterdam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20211
2 20153
3 20139
4 200914
5 2002144
6 19996
7 199711
8 19976
9 19934
10 19918
11 19912
12 19896
13 198822
14 19886
15 19863
16 19772
17 19773
18 197714
19
Encephalomyocarditis virus (E variant) in mice. Pancreatic changes.
19734
20
Bacterial sensitivity to ristocetin.
19583

About Daniel Amsterdam

Daniel Amsterdam is a scholar working on Applied Microbiology and Biotechnology, Clinical Biochemistry, Molecular Medicine, Microbiology and Infectious Diseases, having authored 109 papers that have together received 1.8k indexed citations. Recurring topics across this work include Antibiotics Pharmacokinetics and Efficacy (14 papers), Bacterial Identification and Susceptibility Testing (14 papers), Cytomegalovirus and herpesvirus research (12 papers), Antimicrobial Resistance in Staphylococcus (11 papers), Lysosomal Storage Disorders Research (10 papers), Antibiotic Resistance in Bacteria (8 papers), Antibiotic Use and Resistance (6 papers) and Bacterial Infections and Vaccines (5 papers). The work is most often cited by research in Clinical Biochemistry (227 citations), Molecular Medicine (162 citations), Microbiology (160 citations), Infectious Diseases (354 citations) and Applied Microbiology and Biotechnology (33 citations). Daniel Amsterdam has collaborated with scholars based in United States, Canada and Switzerland. Frequent co-authors include S. Stanley Schneierson, W R Bartholomew, Alexander von Graevenitz, Larry Schneck, Barbara E. Ostrov, Coleman Rotstein, Ali El-Solh, J. Joseph Walshe, M. Jeffery Mador and Brydon J. B. Grant. Their work appears in journals such as Journal of Clinical Microbiology, Immunological Investigations, Diagnostic Microbiology and Infectious Disease, Experimental Biology and Medicine and Nature.

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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