Talia B. Kimber

458 total citations
5 papers, 216 citations indexed

About

Talia B. Kimber is a scholar working on Computational Theory and Mathematics, Materials Chemistry and Molecular Biology. According to data from OpenAlex, Talia B. Kimber has authored 5 papers receiving a total of 216 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Computational Theory and Mathematics, 4 papers in Materials Chemistry and 3 papers in Molecular Biology. Recurrent topics in Talia B. Kimber's work include Computational Drug Discovery Methods (5 papers), Machine Learning in Materials Science (4 papers) and Genetics, Bioinformatics, and Biomedical Research (2 papers). Talia B. Kimber is often cited by papers focused on Computational Drug Discovery Methods (5 papers), Machine Learning in Materials Science (4 papers) and Genetics, Bioinformatics, and Biomedical Research (2 papers). Talia B. Kimber collaborates with scholars based in Germany and Switzerland. Talia B. Kimber's co-authors include Andrea Volkamer, Henry Webel, Silke Radetzki, Martin Neuenschwander, Marc Nazaré, Matteo Manica, María Rodríguez Martínez, Jannis Born, David Schaller and Jaime Rodrı́guez-Guerra and has published in prestigious journals such as Nucleic Acids Research, SHILAP Revista de lepidopterología and International Journal of Molecular Sciences.

In The Last Decade

Talia B. Kimber

5 papers receiving 214 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Talia B. Kimber Germany	5	162	122	80	20	11	5	216
Derek van Tilborg Netherlands	6	158 1.0×	145 1.2×	115 1.4×	16 0.8×	13 1.2×	7	288
Duancheng Zhao China	7	226 1.4×	148 1.2×	106 1.3×	22 1.1×	7 0.6×	9	294
Manon Réau France	8	163 1.0×	209 1.7×	69 0.9×	26 1.3×	11 1.0×	11	318
Edvard Lindelöf Sweden	3	221 1.4×	145 1.2×	180 2.3×	22 1.1×	7 0.6×	5	278
Jiacheng Xiong China	6	152 0.9×	102 0.8×	112 1.4×	47 2.4×	6 0.5×	10	273
Lina Humbeck Germany	6	120 0.7×	83 0.7×	36 0.5×	14 0.7×	6 0.5×	12	170
Leandro Cotos Spain	13	93 0.6×	142 1.2×	68 0.8×	8 0.4×	9 0.8×	18	512
Odin Zhang China	11	191 1.2×	203 1.7×	87 1.1×	19 0.9×	12 1.1×	27	328
Alejandro Varela‐Rial Spain	6	109 0.7×	114 0.9×	76 0.9×	6 0.3×	7 0.6×	8	183
Zihao Shen China	8	92 0.6×	92 0.8×	37 0.5×	12 0.6×	9 0.8×	12	198

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

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5 of 5 papers shown

1.

Born, Jannis, et al.. (2023). Chemical representation learning for toxicity prediction. Digital Discovery. 2(3). 674–691. 21 indexed citations

2.

Sydow, Dominique, et al.. (2022). TeachOpenCADD 2022: open source and FAIR Python pipelines to assist in structural bioinformatics and cheminformatics research. Nucleic Acids Research. 50(W1). W753–W760. 8 indexed citations

3.

Kimber, Talia B., et al.. (2021). Deep Learning in Virtual Screening: Recent Applications and Developments. International Journal of Molecular Sciences. 22(9). 4435–4435. 120 indexed citations

4.

Kimber, Talia B., et al.. (2021). Maxsmi: Maximizing molecular property prediction performance with confidence estimation using SMILES augmentation and deep learning. SHILAP Revista de lepidopterología. 1. 100014–100014. 24 indexed citations

5.

Webel, Henry, Talia B. Kimber, Silke Radetzki, et al.. (2020). Revealing cytotoxic substructures in molecules using deep learning. Journal of Computer-Aided Molecular Design. 34(7). 731–746. 43 indexed citations

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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