Talia B. Kimber

458 citations
5 papers · 216 indexed · h-index 5
Topics
Computational Drug Discovery Methods (5 papers)Machine Learning in Materials Science (4 papers)Genetics, Bioinformatics, and Biomedical Research (2 papers)
Journals
Nucleic Acids ResearchSHILAP Revista de lepidopterologíaInternational Journal of Molecular Sciences
Partner nations
GermanySwitzerland

In The Last Decade

Talia B. Kimber

5 papers receiving 214 citations

Peers

Talia B. Kimber
Comparison fields: 5 of 67
  • Computational Theory and Mathematics 162
  • Molecular Biology 122
  • Materials Chemistry 80
  • Artificial Intelligence 20
  • Biophysics 11
Replace Derek van Tilborg with:
Derek van Tilborg Netherlands
Navneet Bung India
Łukasz Maziarka Poland
Jiacheng Xiong China
Jens A. Fuchs Switzerland
Lina Humbeck Germany
Gabriel Idakwo United States
Jerret Ross United States
Maryam Bagherian United States
Leandro Cotos Spain
Talia B. Kimber relative to Derek van Tilborg Netherlands Derek van Tilborg's profile →
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Countries citing papers authored by Talia B. Kimber

Since Specialization
Citations

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

Fields of papers citing papers by Talia B. Kimber

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Talia B. Kimber. 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 Talia B. Kimber. The network helps show where Talia B. Kimber may publish in the future.

Co-authorship network of co-authors of Talia B. Kimber

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

All Works

About Talia B. Kimber

Talia B. Kimber is a scholar working on Computational Theory and Mathematics, Biophysics and Information Systems and Management, having authored 5 papers that have together received 216 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (5 papers), Machine Learning in Materials Science (4 papers) and Genetics, Bioinformatics, and Biomedical Research (2 papers). The work is most often cited by research in Computational Theory and Mathematics (162 citations), Health Informatics (4 citations) and Biophysics (11 citations). Talia B. Kimber has collaborated with scholars based in Germany and Switzerland. Frequent co-authors include Andrea Volkamer, Marc Nazaré, Silke Radetzki, Henry Webel, Martin Neuenschwander, María Rodríguez Martínez, Jannis Born, Matteo Manica, Jaime Rodrı́guez-Guerra and David Schaller. Their work appears in journals such as Nucleic Acids Research, SHILAP Revista de lepidopterología and International Journal of Molecular Sciences.

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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