Gerald Schwank
- Molecular Biology top 2%
- Oncology top 2%
- Biomedical Engineering top 5%
- Genetics top 2%
- Cancer Research top 5%
- Co-authors
- Hans CleversEdwin CuppenEdward E. S. NieuwenhuisKonrad BaslerNataša SavićBon‐Kyoung KooNobuo SasakiFemke Ringnalda
- Topics
- CRISPR and Genetic Engineering (31 papers)RNA regulation and disease (11 papers)RNA and protein synthesis mechanisms (9 papers)
- Partner nations
- SwitzerlandNetherlandsUnited States
In The Last Decade
Gerald Schwank
45 papers receiving 4.9k citations
Hit Papers
Peers
Comparison fields: 5 of 120
- Molecular Biology 3.2k
- Oncology 1.4k
- Biomedical Engineering 962
- Genetics 889
- Cancer Research 454
Countries citing papers authored by Gerald Schwank
This map shows the geographic impact of Gerald Schwank'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 Gerald Schwank with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gerald Schwank more than expected).
Fields of papers citing papers by Gerald Schwank
This network shows the impact of papers produced by Gerald Schwank. 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 Gerald Schwank. The network helps show where Gerald Schwank may publish in the future.
Co-authorship network of co-authors of Gerald Schwank
This figure shows the co-authorship network connecting the top 25 collaborators of Gerald Schwank. A scholar is included among the top collaborators of Gerald Schwank based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Gerald Schwank. Gerald Schwank is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 8 | |
| 3 | 1 | |
| 4 | 27 | |
| 5 | 12 | |
| 6 | 24 | |
| 7 | 9 | |
| 8 | 19 | |
| 9 | In vivo prime editing of a metabolic liver disease in micebreakdown → | 130 |
| 10 | 34 | |
| 11 | 75 | |
| 12 | 4 | |
| 13 | 12 | |
| 14 | High-throughput automated organoid culture via stem-cell aggregation in microcavity arraysbreakdown → | 281 |
| 15 | 149 | |
| 16 | 29 | |
| 17 | 117 | |
| 18 | Functional Repair of CFTR by CRISPR/Cas9 in Intestinal Stem Cell Organoids of Cystic Fibrosis Patientsbreakdown → | 1034 |
| 19 | 60 | |
| 20 | 105 |
About Gerald Schwank
Gerald Schwank is a scholar working on Business and International Management, Molecular Biology and Aging, having authored 47 papers that have together received 4.9k indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (31 papers), RNA regulation and disease (11 papers) and RNA and protein synthesis mechanisms (9 papers). The work is most often cited by research in Business and International Management (182 citations), Aging (139 citations) and Oncology (1.4k citations). Gerald Schwank has collaborated with scholars based in Switzerland, Netherlands and United States. Frequent co-authors include Hans Clevers, Edwin Cuppen, Edward E. S. Nieuwenhuis, Konrad Basler, Nataša Savić, Bon‐Kyoung Koo, Nobuo Sasaki, Femke Ringnalda, Johanna F. Dekkers and Turan Demircan. Their work appears in journals such as Nature, Advanced Materials and Nature 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.