Miha Pakusch
Impact in
- Molecular Biology top 2%
- Cell death mechanisms and regulation
- Mitochondrial Function and Pathology
- Ubiquitin and proteasome pathways
- RNA Interference and Gene Delivery
- ATP Synthase and ATPases Research
- Immunology top 5%
Papers in
- Genetics 6
- Diabetes and associated disorders 4
- Genetics and Neurodevelopmental Disorders 2
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- interferon and immune responses 2
- Co-authors
- David L. VauxPaul G. EkertJohn SilkeAnne M. VerhagenLisa ConnollyRichard J. SimpsonRobert L. MoritzGavin E. Reid
- Journals
- Blood (2 papers)Journal of Biological Chemistry (2 papers)Epigenetics & Chromatin (2 papers)Proceedings of the National Academy of Sciences (2 papers)Cell Death and Differentiation (2 papers)
- Partner nations
- AustraliaNew ZealandUnited States
In The Last Decade
Miha Pakusch
19 papers receiving 3.5k citations
Hit Papers
Peers
Comparison fields: 5 of 107
- Molecular Biology 3.1k
- Immunology 659
- Cancer Research 370
- Cell Biology 397
- Oncology 640
Countries citing papers authored by Miha Pakusch
This map shows the geographic impact of Miha Pakusch'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 Miha Pakusch with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Miha Pakusch more than expected).
Fields of papers citing papers by Miha Pakusch
This network shows the impact of papers produced by Miha Pakusch. 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 Miha Pakusch. The network helps show where Miha Pakusch may publish in the future.
Co-authors
The 25 scholars most cited alongside Miha Pakusch, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 2 | |
| 2 | 2024 | 1 | |
| 3 | 2022 | 3 | |
| 4 | 2018 | 53 | |
| 5 | 2017 | 18 | |
| 6 | 2016 | 52 | |
| 7 | 2013 | 72 | |
| 8 | 2012 | 36 | |
| 9 | 2010 | 103 | |
| 10 | 2006 | 55 | |
| 11 | 2005 | 125 | |
| 12 | 2004 | 32 | |
| 13 | 2002 | 11 | |
| 14 | 2002 | 423 | |
| 15 | 2002 | 157 | |
| 16 | 2002 | 110 | |
| 17 | 2001 | 2 | |
| 18 | Identification of DIABLO, a Mammalian Protein that Promotes Apoptosis by Binding to and Antagonizing IAP Proteins Hit paper breakdown → | 2000 | 1848 |
| 19 | 2000 | 447 |
About Miha Pakusch
Miha Pakusch is a scholar working on Genetics, Immunology, Gastroenterology, Endocrinology, Diabetes and Metabolism and Molecular Biology, having authored 19 papers that have together received 3.5k indexed citations. Recurring topics across this work include Cell death mechanisms and regulation (8 papers), Diabetes and associated disorders (4 papers), Epigenetics and DNA Methylation (3 papers), Ubiquitin and proteasome pathways (3 papers), interferon and immune responses (2 papers), Mitochondrial Function and Pathology (2 papers), Diabetes Management and Research (2 papers) and Genetics and Neurodevelopmental Disorders (2 papers). The work is most often cited by research in Molecular Biology (3.1k citations), Immunology (659 citations), Cancer Research (370 citations), Cell Biology (397 citations) and Oncology (640 citations). Miha Pakusch has collaborated with scholars based in Australia, New Zealand and United States. Frequent co-authors include David L. Vaux, Paul G. Ekert, John Silke, Anne M. Verhagen, Lisa Connolly, Richard J. Simpson, Robert L. Moritz, Gavin E. Reid, Catherine L. Day and K.H. Andy Choo. Their work appears in journals such as Blood, Journal of Biological Chemistry, Epigenetics & Chromatin, Proceedings of the National Academy of Sciences and Cell Death and Differentiation.
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.