Tom Bergan

6.1k citations
281 papers · 4.4k indexed · h-index 33

Tom Bergan

271 papers receiving 3.9k citations

Peers

Tom Bergan
Comparison fields: 5 of 162
  • Molecular Medicine 942
  • Pharmacology 1.6k
  • Hardware and Architecture 501
  • Applied Microbiology and Biotechnology 136
  • Clinical Biochemistry 337
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Countries citing papers authored by Tom Bergan

Since Specialization
Citations

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

Fields of papers citing papers by Tom Bergan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 201092
2 199936
3 19968
4 199116
5 199052
6 198714
7 19863
8 19867
9 198660
10 19854
11 19831
12 198318
13
Production and purification of the thermolabile enterotoxin of Escherichia coli.
19804
14 197919
15
[Amikacin and tobramycin].
19781
16
Kinetics of tissue penetration. Are high plasma peak concentrations or sustained levels preferable for effective antibiotic therapy?
197830
17
[Heparin induced thrombocytopenia--an investigation in Norweigan patients].
19783
18
Epidemiological markers for Pseudomonas aeruginosa. 3. Comparison of bacteriophage typing, serogrouping. and pyocine typing on a heterogeneous clinical material.
19738
19
Epidemiological markers for Pseudomonas aeruginosa. 2. Relationship between bacteriophage susceptibility and serogroup or pyocine type.
19733
20
Reisolation of Micrococcus mucilaginosus Migula 1900.
197027

About Tom Bergan

Tom Bergan is a scholar working on Molecular Medicine, Pharmacology, Transplantation, Clinical Biochemistry and Endocrinology, having authored 281 papers that have together received 4.4k indexed citations. Recurring topics across this work include Antibiotics Pharmacokinetics and Efficacy (118 papers), Antibiotic Resistance in Bacteria (53 papers), Drug Transport and Resistance Mechanisms (19 papers), Pharmaceutical studies and practices (18 papers), Antimicrobial Resistance in Staphylococcus (18 papers), Bacterial Identification and Susceptibility Testing (18 papers), Parallel Computing and Optimization Techniques (18 papers) and Urinary Tract Infections Management (17 papers). The work is most often cited by research in Molecular Medicine (942 citations), Pharmacology (1.6k citations), Hardware and Architecture (501 citations), Applied Microbiology and Biotechnology (136 citations) and Clinical Biochemistry (337 citations). Tom Bergan has collaborated with scholars based in Norway, United States and Sweden. Frequent co-authors include Luís Ceze, R. Rohwedder, Dan Grossman, Sigurður B. Þorsteinsson, Joseph Devietti, Owen T. Anderson, E. K. Brodwall, M. Kocur, Hideyuki Matsumoto and Sune Thorsteinsson. Their work appears in journals such as Chemotherapy, Infection, Journal of Antimicrobial Chemotherapy, European Journal of Clinical Microbiology & Infectious Diseases and Antimicrobial Agents and Chemotherapy.

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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