Pascal Hirsch
Impact in
- Molecular Medicine top 10%
- Antibiotic Resistance in Bacteria
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- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
Papers in
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- MicroRNA in disease regulation 7
- Cancer-related molecular mechanisms research 5
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- Genomics and Phylogenetic Studies 8
- Machine Learning in Bioinformatics 3
- Single-cell and spatial transcriptomics 3
- Metabolomics and Mass Spectrometry Studies 2
- Co-authors
- Andreas Keller (17 shared papers)Tobias Fehlmann (9 shared papers)Fabian Kern (11 shared papers)Georges Pierre Schmartz (8 shared papers)Rolf Müller (6 shared papers)Ernesto Aparicio‐Puerta (3 shared papers)Alexey A. Gurevich (2 shared papers)Alla Mikheenko (1 shared paper)
- Journals
- Nucleic Acids Research (16 papers)Briefings in Bioinformatics (2 papers)IEEE Access (1 paper)Nature Communications (1 paper)Experimental & Molecular Medicine (1 paper)
- Partner nations
- GermanyUnited StatesAustralia
In The Last Decade
Pascal Hirsch
20 papers receiving 516 citations
Peers
Comparison fields: 5 of 88
- Molecular Medicine 74
- Cancer Research 112
- Endocrinology 36
- Molecular Biology 234
- Insect Science 39
Countries citing papers authored by Pascal Hirsch
This map shows the geographic impact of Pascal Hirsch'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 Pascal Hirsch with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pascal Hirsch more than expected).
Fields of papers citing papers by Pascal Hirsch
This network shows the impact of papers produced by Pascal Hirsch. 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 Pascal Hirsch. The network helps show where Pascal Hirsch may publish in the future.
Co-authors
The 25 scholars most cited alongside Pascal Hirsch, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 162 | |
| 2 | 2023 | 62 | |
| 3 | 2023 | 44 | |
| 4 | 2018 | 38 | |
| 5 | 2019 | 38 | |
| 6 | 2021 | 38 | |
| 7 | 2024 | 32 | |
| 8 | 2024 | 24 | |
| 9 | 2022 | 18 | |
| 10 | 2018 | 15 | |
| 11 | 2023 | 13 | |
| 12 | 2022 | 10 | |
| 13 | 2024 | 9 | |
| 14 | 2023 | 6 | |
| 15 | 2024 | 5 | |
| 16 | 2021 | 3 | |
| 17 | 2024 | 2 | |
| 18 | Compact dual-band parasitic dipole antenna for harmonic transponders | 2015 | 2 |
| 19 | 2025 | 2 | |
| 20 | 2025 | 1 |
About Pascal Hirsch
Pascal Hirsch is a scholar working on Cancer Research, Molecular Biology, Neurology, Genetics and Insect Science, having authored 23 papers that have together received 524 indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (8 papers), MicroRNA in disease regulation (7 papers), Cancer-related molecular mechanisms research (5 papers), Machine Learning in Bioinformatics (3 papers), Single-cell and spatial transcriptomics (3 papers), Plant and animal studies (2 papers), Neuroinflammation and Neurodegeneration Mechanisms (2 papers) and Metabolomics and Mass Spectrometry Studies (2 papers). The work is most often cited by research in Molecular Medicine (74 citations), Cancer Research (112 citations), Endocrinology (36 citations), Molecular Biology (234 citations) and Insect Science (39 citations). Pascal Hirsch has collaborated with scholars based in Germany, United States and Australia. Frequent co-authors include Andreas Keller, Tobias Fehlmann, Fabian Kern, Georges Pierre Schmartz, Rolf Müller, Ernesto Aparicio‐Puerta, Alexey A. Gurevich, Alla Mikheenko, Vladislav Saveliev and Christina Backes. Their work appears in journals such as Nucleic Acids Research, Briefings in Bioinformatics, IEEE Access, Nature Communications and Experimental & Molecular Medicine.
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.