Alexander Lachmann
Impact in
- Cancer Research top 0.5%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Molecular Biology top 0.5%
- Bioinformatics and Genomic Networks
- RNA modifications and cancer
- Epigenetics and DNA Methylation
- Single-cell and spatial transcriptomics
- RNA Research and Splicing
- Gene expression and cancer classification
Papers in
-
- Bioinformatics and Genomic Networks 20
- Gene expression and cancer classification 10
- Genomics and Phylogenetic Studies 6
- Gene Regulatory Network Analysis 4
- Epigenetics and DNA Methylation 3
- CRISPR and Genetic Engineering 3
-
- Computational Drug Discovery Methods 9
- Co-authors
- Avi Ma’ayan (40 shared papers)Kathleen M. Jagodnik (14 shared papers)Maxim V. Kuleshov (13 shared papers)Sherry L. Jenkins (5 shared papers)Zichen Wang (8 shared papers)Gregory W. Gundersen (2 shared papers)Simon Koplev (1 shared paper)Caroline D. Monteiro (1 shared paper)
- Journals
- Bioinformatics (9 papers)Nucleic Acids Research (8 papers)Current Protocols (3 papers)BMC Bioinformatics (2 papers)Database (2 papers)
- Partner nations
- United StatesRussiaUnited Kingdom
In The Last Decade
Alexander Lachmann
46 papers receiving 12.6k citations
Alexander Lachmann's Hit Papers
Peers
Comparison fields: 5 of 160
- Cancer Research 1.7k
- Molecular Biology 7.1k
- Immunology 1.5k
- Aging 117
- Neurology 396
Countries citing papers authored by Alexander Lachmann
This map shows the geographic impact of Alexander Lachmann'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 Alexander Lachmann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alexander Lachmann more than expected).
Fields of papers citing papers by Alexander Lachmann
This network shows the impact of papers produced by Alexander Lachmann. 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 Alexander Lachmann. The network helps show where Alexander Lachmann may publish in the future.
Co-authors
The 25 scholars most cited alongside Alexander Lachmann, 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 46 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Enrichr: a comprehensive gene set enrichment analysis web server 2016 update Hit paper breakdown → | 2016 | 6324 |
| 2 | Gene Set Knowledge Discovery with Enrichr Hit paper breakdown → | 2021 | 1870 |
| 3 | ChEA: transcription factor regulation inferred from integrating genome-wide ChIP-X experiments Hit paper breakdown → | 2010 | 694 |
| 4 | ChEA3: transcription factor enrichment analysis by orthogonal omics integration Hit paper breakdown → | 2019 | 632 |
| 5 | Functional characterization of somatic mutations in cancer using network-based inference of protein activity Hit paper breakdown → | 2016 | 494 |
| 6 | Massive mining of publicly available RNA-seq data from human and mouse Hit paper breakdown → | 2018 | 423 |
| 7 | 2009 | 223 | |
| 8 | 2016 | 208 | |
| 9 | 2018 | 192 | |
| 10 | 2009 | 170 | |
| 11 | 2010 | 165 | |
| 12 | 2016 | 151 | |
| 13 | 2018 | 139 | |
| 14 | 2018 | 119 | |
| 15 | 2019 | 102 | |
| 16 | 2021 | 80 | |
| 17 | 2012 | 65 | |
| 18 | 2019 | 58 | |
| 19 | 2018 | 58 | |
| 20 | 2022 | 55 |
About Alexander Lachmann
Alexander Lachmann is a scholar working on Molecular Biology, Computational Theory and Mathematics, Information Systems and Management, Infectious Diseases and Pharmacology, having authored 46 papers that have together received 12.7k indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (20 papers), Gene expression and cancer classification (10 papers), Computational Drug Discovery Methods (9 papers), Genomics and Phylogenetic Studies (6 papers), Scientific Computing and Data Management (4 papers), Gene Regulatory Network Analysis (4 papers), Epigenetics and DNA Methylation (3 papers) and CRISPR and Genetic Engineering (3 papers). The work is most often cited by research in Cancer Research (1.7k citations), Molecular Biology (7.1k citations), Immunology (1.5k citations), Aging (117 citations) and Neurology (396 citations). Alexander Lachmann has collaborated with scholars based in United States, Russia and United Kingdom. Frequent co-authors include Avi Ma’ayan, Kathleen M. Jagodnik, Maxim V. Kuleshov, Sherry L. Jenkins, Zichen Wang, Gregory W. Gundersen, Simon Koplev, Caroline D. Monteiro, Matthew R. Jones and Nicolas Fernandez. Their work appears in journals such as Bioinformatics, Nucleic Acids Research, Current Protocols, BMC Bioinformatics and Database.
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.