Philipp Jent

940 citations
26 papers · 364 · h-index 10

Impact in

Papers in

    • Urinary Tract Infections Management 3
    • SARS-CoV-2 detection and testing 4
    • SARS-CoV-2 and COVID-19 Research 4
    • Antimicrobial Resistance in Staphylococcus 3

Philipp Jent

20 papers receiving 357 citations

Peers

Philipp Jent
Comparison fields: 5 of 86
  • Applied Microbiology and Biotechnology 41
  • Molecular Medicine 38
  • Infectious Diseases 135
  • Pharmacology 94
  • Modeling and Simulation 19
Replace Ayşe Kaya Kalem with:
Ayşe Kaya Kalem Türkiye
Aikaterini Gkoufa Greece
Mehrdad Haghighi Iran
Élie Haddad Lebanon
Nathan Putman-Buehler United States
Katherine Linsenmeyer United States
Yasuaki Tagashira Japan
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Citations per field
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Citations per year

Countries citing papers authored by Philipp Jent

Since Specialization
Citations

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

Fields of papers citing papers by Philipp Jent

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201999
2 202177
3 201939
4 202330
5 202316
6 202214
7 202214
8 202312
9 202412
10 202110
11 20248
12 20228
13 20236
14 20184
15 20223
16 20243
17 20083
18 20203
19 20192
20 20251

About Philipp Jent

Philipp Jent is a scholar working on Epidemiology, Infectious Diseases, Surgery, Pulmonary and Respiratory Medicine and Clinical Biochemistry, having authored 26 papers that have together received 364 indexed citations. Recurring topics across this work include Infection Control and Ventilation (4 papers), Bacterial Identification and Susceptibility Testing (4 papers), SARS-CoV-2 detection and testing (4 papers), SARS-CoV-2 and COVID-19 Research (4 papers), Surgical site infection prevention (3 papers), Antibiotic Resistance in Bacteria (3 papers), Urinary Tract Infections Management (3 papers) and Antimicrobial Resistance in Staphylococcus (3 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (41 citations), Molecular Medicine (38 citations), Infectious Diseases (135 citations), Pharmacology (94 citations) and Modeling and Simulation (19 citations). Philipp Jent has collaborated with scholars based in Switzerland, United States and United Kingdom. Frequent co-authors include Pascal Bittel, Franziska Suter‐Riniker, Sabrina Jegerlehner, Michael Nagler, Niccolò Buetti, Baharak Babouee Flury, Hansjakob Furrer, Manuel Haschke, Yok‐Ai Que and Christine Hauser. Their work appears in journals such as Open Forum Infectious Diseases, JAMA Network Open, Clinical Microbiology and Infection, International Journal of Infectious Diseases 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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