William G. Kramer

3.8k citations
117 papers · 2.9k · h-index 31

Impact in

Papers in

William G. Kramer

112 papers receiving 2.8k citations

Peers

William G. Kramer
Comparison fields: 5 of 125
  • Transplantation 110
  • Pharmacology 339
  • Cardiology and Cardiovascular Medicine 425
  • Pharmacology 168
  • Infectious Diseases 346
Replace R L Simmons with:
R L Simmons United States
Paul L. McCormack New Zealand
Cees Neef Netherlands
Sebastian Harder Germany
David R. Luke United States
Robert A. Blum United States
Wei Zhao China
R. W. E. Watts United Kingdom
Christine Fernandez France
Masato Homma Japan
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Citations per year

Countries citing papers authored by William G. Kramer

Since Specialization
Citations

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

Fields of papers citing papers by William G. Kramer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by William G. Kramer. 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 William G. Kramer. The network helps show where William G. Kramer may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 117 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1995208
2 2002192
3 2012182
4 2008171
5 1986102
6 198793
7 197477
8 201174
9 200965
10 198161
11 198958
12 201456
13 201452
14 199351
15 201850
16 197949
17 200146
18 201045
19 201742
20 199638

About William G. Kramer

William G. Kramer is a scholar working on Pharmacology, Pediatrics, Perinatology and Child Health, Molecular Biology, Analytical Chemistry and Surgery, having authored 117 papers that have together received 2.9k indexed citations. Recurring topics across this work include Antibiotics Pharmacokinetics and Efficacy (25 papers), Pharmaceutical studies and practices (13 papers), Analytical Methods in Pharmaceuticals (12 papers), Epilepsy research and treatment (8 papers), Pharmacogenetics and Drug Metabolism (8 papers), Pharmacological Effects and Toxicity Studies (8 papers), Drug Transport and Resistance Mechanisms (7 papers) and Antifungal resistance and susceptibility (6 papers). The work is most often cited by research in Transplantation (110 citations), Pharmacology (339 citations), Cardiology and Cardiovascular Medicine (425 citations), Pharmacology (168 citations) and Infectious Diseases (346 citations). William G. Kramer has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include D. Craig Brater, Barry D. Kahan, Paula Black, William B. Smith, Dennis Vargo, Erol Onel, Neil Singla, Admir Hadžić, Sheldon L. Kaplan and Keith Wesnes. Their work appears in journals such as The Journal of Clinical Pharmacology, Clinical Pharmacology & Therapeutics, Antimicrobial Agents and Chemotherapy, Blood and Journal of Pharmaceutical Sciences.

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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