Mohammad Lotfollahi
- Molecular Biology top 10%
- Biophysics top 0.5%
- Immunology top 10%
- Cancer Research top 10%
- Oncology
- Co-authors
- Fabian J. TheisF. Alexander WolfSergei RybakovMohsen NaghipourfarIgnacio L. IbarraSabrina RichterMichal KleinGiovanni Palla
- Topics
- Single-cell and spatial transcriptomics (17 papers)Cell Image Analysis Techniques (12 papers)Gene Regulatory Network Analysis (4 papers)
- Journals
- NatureCellNature Communications
- Partner nations
- GermanyUnited KingdomUnited States
In The Last Decade
Mohammad Lotfollahi
18 papers receiving 1.4k citations
Hit Papers
Peers
Comparison fields: 5 of 94
- Molecular Biology 1.2k
- Biophysics 387
- Immunology 242
- Cancer Research 202
- Oncology 66
Countries citing papers authored by Mohammad Lotfollahi
This map shows the geographic impact of Mohammad Lotfollahi'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 Mohammad Lotfollahi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mohammad Lotfollahi more than expected).
Fields of papers citing papers by Mohammad Lotfollahi
This network shows the impact of papers produced by Mohammad Lotfollahi. 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 Mohammad Lotfollahi. The network helps show where Mohammad Lotfollahi may publish in the future.
Co-authorship network of co-authors of Mohammad Lotfollahi
This figure shows the co-authorship network connecting the top 25 collaborators of Mohammad Lotfollahi. A scholar is included among the top collaborators of Mohammad Lotfollahi 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 Mohammad Lotfollahi. Mohammad Lotfollahi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 11 | |
| 2 | 1 | |
| 3 | Towards multimodal foundation models in molecular cell biologybreakdown → | 22 |
| 4 | 5 | |
| 5 | 27 | |
| 6 | 2 | |
| 7 | 22 | |
| 8 | 6 | |
| 9 | Predicting cellular responses to complex perturbations in high‐throughput screensbreakdown → | 97 |
| 10 | 14 | |
| 11 | 38 | |
| 12 | 37 | |
| 13 | 46 | |
| 14 | Squidpy: a scalable framework for spatial omics analysisbreakdown → | 417 |
| 15 | 62 | |
| 16 | Mapping single-cell data to reference atlases by transfer learningbreakdown → | 247 |
| 17 | 66 | |
| 18 | 278 |
About Mohammad Lotfollahi
Mohammad Lotfollahi is a scholar working on Biophysics, Molecular Biology and Immunology, having authored 18 papers that have together received 1.4k indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (17 papers), Cell Image Analysis Techniques (12 papers) and Gene Regulatory Network Analysis (4 papers). The work is most often cited by research in Biophysics (387 citations), Molecular Biology (1.2k citations) and Cancer Research (202 citations). Mohammad Lotfollahi has collaborated with scholars based in Germany, United Kingdom and United States. Frequent co-authors include Fabian J. Theis, F. Alexander Wolf, Sergei Rybakov, Mohsen Naghipourfar, Ignacio L. Ibarra, Sabrina Richter, Michal Klein, Giovanni Palla, David S. Fischer and Hannah Spitzer. Their work appears in journals such as Nature, Cell and Nature Communications.
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.