Lisa M. Dratva

21 total papers · 845 total citations
4 papers, 281 citations indexed

About

Lisa M. Dratva is a scholar working on Molecular Biology, Immunology and Neurology. According to data from OpenAlex, Lisa M. Dratva has authored 4 papers receiving a total of 281 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 4 papers in Immunology and 1 paper in Neurology. Recurrent topics in Lisa M. Dratva's work include Single-cell and spatial transcriptomics (4 papers), Immune Cell Function and Interaction (2 papers) and T-cell and B-cell Immunology (2 papers). Lisa M. Dratva is often cited by papers focused on Single-cell and spatial transcriptomics (4 papers), Immune Cell Function and Interaction (2 papers) and T-cell and B-cell Immunology (2 papers). Lisa M. Dratva collaborates with scholars based in United Kingdom, Germany and Sweden. Lisa M. Dratva's co-authors include Christoffer Mattsson Langseth, Gioele La Manno, Alejandro Mossi Albiach, Daniel Gyllborg, Sten Linnarsson, Alessandro Furlan, Elin Vinsland, Irina Khven, Anna Johnsson and Alex R. Lederer and has published in prestigious journals such as Nature, Nature Communications and Nature Biotechnology.

In The Last Decade

Lisa M. Dratva

4 papers receiving 279 citations

Hit Papers

Molecular architecture of... 2021 2026 2022 2024 2021 50 100 150 200 250

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Lisa M. Dratva 214 52 45 45 25 4 281
Alex R. Lederer 242 1.1× 33 0.6× 44 1.0× 45 1.0× 34 1.4× 6 303
Beáta Ramasz 147 0.7× 66 1.3× 22 0.5× 22 0.5× 58 2.3× 6 329
Wenyu Ding 193 0.9× 25 0.5× 48 1.1× 58 1.3× 6 0.2× 6 271
Miguel Cuevas 184 0.9× 46 0.9× 70 1.6× 16 0.4× 14 0.6× 4 284
Lisa Sikkema 120 0.6× 54 1.0× 93 2.1× 37 0.8× 16 0.6× 5 268
Kristy Kang 184 0.9× 46 0.9× 70 1.6× 16 0.4× 12 0.5× 5 297
Paul W. Frazel 133 0.6× 19 0.4× 48 1.1× 44 1.0× 10 0.4× 9 199
Horst Penkert 160 0.7× 42 0.8× 51 1.1× 27 0.6× 7 0.3× 7 319
Galina Popova 103 0.5× 57 1.1× 87 1.9× 54 1.2× 24 1.0× 6 227
Jayden Ross 207 1.0× 8 0.2× 34 0.8× 53 1.2× 19 0.8× 6 278

Countries citing papers authored by Lisa M. Dratva

Since Specialization
Citations

This map shows the geographic impact of Lisa M. Dratva'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 Lisa M. Dratva with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lisa M. Dratva more than expected).

Fields of papers citing papers by Lisa M. Dratva

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lisa M. Dratva. 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 Lisa M. Dratva. The network helps show where Lisa M. Dratva may publish in the future.

Co-authorship network of co-authors of Lisa M. Dratva

This figure shows the co-authorship network connecting the top 25 collaborators of Lisa M. Dratva. A scholar is included among the top collaborators of Lisa M. Dratva 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 Lisa M. Dratva. Lisa M. Dratva is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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.

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