John E. Kasik

1.1k citations
40 papers · 918 · h-index 15

Impact in

Papers in

    • Antibiotics Pharmacokinetics and Efficacy 6
    • Bioactive Compounds and Antitumor Agents 2

John E. Kasik

38 papers receiving 743 citations

Peers

John E. Kasik
Comparison fields: 5 of 76
  • Infectious Diseases 206
  • Pulmonary and Respiratory Medicine 305
  • Molecular Medicine 44
  • Pharmacology 98
  • Toxicology 30
Replace Rinzō Soejima with:
Rinzō Soejima Japan
Sanford Chodosh United States
Hans‐Georg Posselt Germany
Elvis Malcolm Irusen South Africa
Nevin Uzuner Türkiye
P.P. Sfikakis Greece
Belle L. Lee United States
Cong Chen China
Ryoji Maekura Japan
Sadudee Peerapornratana Thailand
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Citations per field
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Rinzō Soejima · 1×
Citations per year

Countries citing papers authored by John E. Kasik

Since Specialization
Citations

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

Fields of papers citing papers by John E. Kasik

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John E. Kasik. 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 John E. Kasik. The network helps show where John E. Kasik may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1961244
2 1973120
3 196552
4 198147
5 197937
6 196535
7 196535
8 197232
9 197331
10 196830
11 198928
12 197926
13 197321
14 198220
15 196617
16 196712
17 198112
18 198112
19 198211
20 197610

About John E. Kasik

John E. Kasik is a scholar working on Pharmacology, Toxicology, Infectious Diseases, Pulmonary and Respiratory Medicine and Molecular Medicine, having authored 40 papers that have together received 918 indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (10 papers), Chronic Obstructive Pulmonary Disease (COPD) Research (7 papers), Antibiotics Pharmacokinetics and Efficacy (6 papers), Mycobacterium research and diagnosis (5 papers), Antibiotic Resistance in Bacteria (4 papers), Infectious Diseases and Tuberculosis (3 papers), Immunotoxicology and immune responses (3 papers) and Bioactive Compounds and Antitumor Agents (2 papers). The work is most often cited by research in Infectious Diseases (206 citations), Pulmonary and Respiratory Medicine (305 citations), Molecular Medicine (44 citations), Pharmacology (98 citations) and Toxicology (30 citations). John E. Kasik has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include William R. Barclay, Benjamin Burrows, Albert H. Niden, Michael R. Alexander, Bernard W. Janicki, Edgar E. Ribi, Robert C. Good, William M. Busey, Charles E. Ulrich and EMANUEL WOLINSKY. Their work appears in journals such as Antimicrobial Agents and Chemotherapy, CHEST Journal, The Lancet, Tuberculosis and JAMA.

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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