C J Hackbarth

3.8k citations
48 papers · 3.0k · h-index 32

Impact in

Papers in

C J Hackbarth

48 papers receiving 2.8k citations

Peers

C J Hackbarth
Comparison fields: 5 of 107
  • Molecular Medicine 789
  • Infectious Diseases 1.3k
  • Clinical Biochemistry 413
  • Microbiology 353
  • Pharmacology 742
Replace Matsuhisa Inoue with:
Matsuhisa Inoue Japan
D P Bonner United States
H Kropp United States
N H Georgopapadakou United States
A. Bryskier France
E. Collatz France
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Weiguo Liu United States
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Thomas D. Gootz United States
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Citations per field
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Citations per year

Countries citing papers authored by C J Hackbarth

Since Specialization
Citations

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

Fields of papers citing papers by C J Hackbarth

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by C J Hackbarth. 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 C J Hackbarth. The network helps show where C J Hackbarth may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000240
2 2001194
3 1995163
4 1988148
5 1993147
6 1987139
7 1989115
8 1989112
9 2000110
10 199698
11 198491
12 198684
13 198780
14 198675
15 199573
16 199864
17 198560
18 200160
19 199458
20 198057

About C J Hackbarth

C J Hackbarth is a scholar working on Infectious Diseases, Pharmacology, Molecular Biology, Epidemiology and Molecular Medicine, having authored 48 papers that have together received 3.0k indexed citations. Recurring topics across this work include Antimicrobial Resistance in Staphylococcus (25 papers), Antibiotics Pharmacokinetics and Efficacy (16 papers), Antibiotic Resistance in Bacteria (13 papers), Infective Endocarditis Diagnosis and Management (7 papers), Bacterial Infections and Vaccines (6 papers), RNA and protein synthesis mechanisms (5 papers), Peptidase Inhibition and Analysis (5 papers) and Bacterial Identification and Susceptibility Testing (5 papers). The work is most often cited by research in Molecular Medicine (789 citations), Infectious Diseases (1.3k citations), Clinical Biochemistry (413 citations), Microbiology (353 citations) and Pharmacology (742 citations). C J Hackbarth has collaborated with scholars based in United States, Switzerland and Italy. Frequent co-authors include Henry F. Chambers, Merle A. Sande, Joaquim Trias, Martin G. Täuber, Richard White, Thomas A. Drake, Zhengyu Yuan, Martin Rusňák, Wen Wang and Peter S. Margolis. Their work appears in journals such as Antimicrobial Agents and Chemotherapy, The Journal of Infectious Diseases, Bioorganic & Medicinal Chemistry Letters, Journal of Antimicrobial Chemotherapy and Journal of Medicinal 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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