Martina Baumann

46 total papers · 402 total citations
23 papers, 226 citations indexed

About

Martina Baumann is a scholar working on Molecular Biology, Sociology and Political Science and Economics and Econometrics. According to data from OpenAlex, Martina Baumann has authored 23 papers receiving a total of 226 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 6 papers in Sociology and Political Science and 5 papers in Economics and Econometrics. Recurrent topics in Martina Baumann's work include Innovation Policy and R&D (3 papers), Viral Infectious Diseases and Gene Expression in Insects (3 papers) and CRISPR and Genetic Engineering (3 papers). Martina Baumann is often cited by papers focused on Innovation Policy and R&D (3 papers), Viral Infectious Diseases and Gene Expression in Insects (3 papers) and CRISPR and Genetic Engineering (3 papers). Martina Baumann collaborates with scholars based in Germany, Austria and France. Martina Baumann's co-authors include Nicole Borth, Finbarr Murphy, Thierry Bellet, Christopher Coenen, Martin Cunneen, Helene Faustrup Kildegaard, Martin Mullins, Vaibhav Jadhav, Richard Strasser and Tobias K. Boehm and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Martina Baumann

19 papers receiving 219 citations

Author Peers

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

Author Last Decade Papers Cites
Martina Baumann 78 40 37 29 22 23 226
Jian Chen 76 1.0× 52 1.3× 21 0.6× 16 0.6× 13 0.6× 21 317
Brian White 62 0.8× 6 0.1× 13 0.4× 7 0.2× 6 0.3× 40 296
Yifan Sun 35 0.4× 28 0.7× 27 0.7× 88 3.0× 12 0.5× 26 264
Steven Jiang 77 1.0× 10 0.3× 28 0.8× 4 0.1× 8 0.4× 34 267
Kevin Harwell 23 0.3× 5 0.1× 20 0.5× 35 1.2× 7 0.3× 14 324
Sally Hughes 52 0.7× 2 0.1× 8 0.2× 50 1.7× 44 2.0× 20 306
Mads Solberg 18 0.2× 6 0.1× 38 1.0× 3 0.1× 2 0.1× 22 196
Yingjie Zhang 4 0.1× 98 2.5× 7 0.2× 15 0.5× 2 0.1× 17 259
Jiahui Li 15 0.2× 4 0.1× 8 0.2× 24 0.8× 1 0.0× 23 315
Sandra Weber 15 0.2× 4 0.1× 9 0.2× 5 0.2× 9 0.4× 22 300

Countries citing papers authored by Martina Baumann

Since Specialization
Citations

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

Fields of papers citing papers by Martina Baumann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Martina Baumann. 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 Martina Baumann. The network helps show where Martina Baumann may publish in the future.

Co-authorship network of co-authors of Martina Baumann

This figure shows the co-authorship network connecting the top 25 collaborators of Martina Baumann. A scholar is included among the top collaborators of Martina Baumann 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 Martina Baumann. Martina Baumann 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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