Michal Klein
- Molecular Biology top 10%
- Immunology top 10%
- Cardiology and Cardiovascular Medicine top 10%
- Endocrinology, Diabetes and Metabolism top 5%
- Cancer Research top 10%
- Co-authors
- Ira J. GoldbergUday SaxenaFabian J. TheisMarius LangeDana Pe’erGiovanni PallaSabrina RichterMohammad Lotfollahi
- Topics
- Lipid metabolism and disorders (6 papers)Single-cell and spatial transcriptomics (5 papers)Diabetes, Cardiovascular Risks, and Lipoproteins (5 papers)
- Partner nations
- IsraelUnited StatesGermany
In The Last Decade
Michal Klein
35 papers receiving 1.6k citations
Hit Papers
Peers
Comparison fields: 5 of 114
- Molecular Biology 956
- Immunology 240
- Cardiology and Cardiovascular Medicine 231
- Endocrinology, Diabetes and Metabolism 207
- Cancer Research 201
Countries citing papers authored by Michal Klein
This map shows the geographic impact of Michal Klein'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 Michal Klein with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michal Klein more than expected).
Fields of papers citing papers by Michal Klein
This network shows the impact of papers produced by Michal Klein. 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 Michal Klein. The network helps show where Michal Klein may publish in the future.
Co-authorship network of co-authors of Michal Klein
This figure shows the co-authorship network connecting the top 25 collaborators of Michal Klein. A scholar is included among the top collaborators of Michal Klein 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 Michal Klein. Michal Klein 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 | Mapping cells through time and space with moscotbreakdown → | 24 |
| 3 | 2 | |
| 4 | CellRank 2: unified fate mapping in multiview single-cell databreakdown → | 49 |
| 5 | 9 | |
| 6 | CellRank for directed single-cell fate mappingbreakdown → | 282 |
| 7 | Squidpy: a scalable framework for spatial omics analysisbreakdown → | 417 |
| 8 | 164 | |
| 9 | 37 | |
| 10 | 39 | |
| 11 | 28 | |
| 12 | 6 | |
| 13 | 133 | |
| 14 | 79 | |
| 15 | 7 | |
| 16 | Sulfa therapy of aster yellows. | 3 |
| 17 | 1 | |
| 18 | 21 | |
| 19 | 6 | |
| 20 | 3 |
About Michal Klein
Michal Klein is a scholar working on Insect Science, Plant Science and Biophysics, having authored 36 papers that have together received 1.6k indexed citations. Recurring topics across this work include Lipid metabolism and disorders (6 papers), Single-cell and spatial transcriptomics (5 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (5 papers). The work is most often cited by research in Biophysics (142 citations), Horticulture (15 citations) and Molecular Biology (956 citations). Michal Klein has collaborated with scholars based in Israel, United States and Germany. Frequent co-authors include Ira J. Goldberg, Uday Saxena, Fabian J. Theis, Marius Lange, Dana Pe’er, Giovanni Palla, Sabrina Richter, Mohammad Lotfollahi, Sergei Rybakov and David S. Fischer. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.
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.