Michael Scheld

17 papers receiving 4.8k citations

Michael Scheld's Hit Papers

Bad Bugs, No Drugs: No ESKAPE! An Update from the Infectious Diseases Society of America 2008 · 3.9k citations
3.9k0+6+13Years since publication10002.0k3.0k

Peers

Michael Scheld
Comparison fields: 5 of 131
  • Molecular Medicine 2.2k
  • Applied Microbiology and Biotechnology 612
  • Microbiology 540
  • Endocrinology 408
  • Clinical Biochemistry 369
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John Bartlett United States
Martin Steinbakk Norway
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Víctor Lorian United States
Heather J. Adam Canada
Alexandre Prehn Zavascki Brazil
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D. M. Livermore United Kingdom
Michael Scheld relative to John Bartlett United States John Bartlett's profile →
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Citations per year

Countries citing papers authored by Michael Scheld

Since Specialization
Citations

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

Fields of papers citing papers by Michael Scheld

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

18 of 18 papers shown
#Work
1
Bad Bugs, No Drugs: No ESKAPE! An Update from the Infectious Diseases Society of America
Hit paper breakdown →
20083938
2
Bad Bugs Need Drugs: An Update on the Development Pipeline from the Antimicrobial Availability Task Force of the Infectious Diseases Society of America
Hit paper breakdown →
2006849
3 200528
4 198124
5 198518
6 198718
7 201212
8 198111
9 19795
10 19904
11 20184
12 19864
13 19902
14
Clinical Pharmacology of Antibiotics
20162
15 19872
16 20081
17 19871
18 19840

About Michael Scheld

Michael Scheld is a scholar working on Clinical Biochemistry, Oncology, Microbiology, Pharmacology and Epidemiology, having authored 18 papers that have together received 4.9k indexed citations. Recurring topics across this work include Bacterial Identification and Susceptibility Testing (5 papers), Bacterial Infections and Vaccines (4 papers), Antibiotics Pharmacokinetics and Efficacy (3 papers), Neutropenia and Cancer Infections (3 papers), Pneumonia and Respiratory Infections (2 papers), Antibiotic Resistance in Bacteria (2 papers), Hematological disorders and diagnostics (2 papers) and Streptococcal Infections and Treatments (1 paper). The work is most often cited by research in Molecular Medicine (2.2k citations), Applied Microbiology and Biotechnology (612 citations), Microbiology (540 citations), Endocrinology (408 citations) and Clinical Biochemistry (369 citations). Michael Scheld has collaborated with scholars based in United States and Germany. Frequent co-authors include John S. Bradley, David N. Gilbert, George H. Talbot, John E. Edwards, Helen W. Boucher, John Bartlett, Louis B. Rice, Brad Spellberg, John G. Bartlett and Merle A. Sande. Their work appears in journals such as The Pediatric Infectious Disease Journal, Clinical Infectious Diseases, Infection Control and Hospital Epidemiology, The American Journal of Medicine and Memórias do Instituto Oswaldo Cruz.

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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