Gerda Brunhofer

11 total papers · 458 total citations
10 papers, 400 citations indexed

About

Gerda Brunhofer is a scholar working on Molecular Biology, Organic Chemistry and Pharmacology. According to data from OpenAlex, Gerda Brunhofer has authored 10 papers receiving a total of 400 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 4 papers in Organic Chemistry and 4 papers in Pharmacology. Recurrent topics in Gerda Brunhofer's work include Computational Drug Discovery Methods (4 papers), Phenothiazines and Benzothiazines Synthesis and Activities (3 papers) and Cholinesterase and Neurodegenerative Diseases (3 papers). Gerda Brunhofer is often cited by papers focused on Computational Drug Discovery Methods (4 papers), Phenothiazines and Benzothiazines Synthesis and Activities (3 papers) and Cholinesterase and Neurodegenerative Diseases (3 papers). Gerda Brunhofer collaborates with scholars based in Austria, Finland and India. Gerda Brunhofer's co-authors include Thomas Erker, Adyary Fallarero, Pia Vuorela, C. Gopi Mohan, Christian Studenik, Pravin Shinde, Reko Leino, Gerhard F. Ecker, Ana Batista‐González and Peter W. Feit and has published in prestigious journals such as Annals of Neurology, Bioorganic & Medicinal Chemistry and European Journal of Pharmaceutical Sciences.

In The Last Decade

Gerda Brunhofer

10 papers receiving 394 citations

Author Peers

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

Author						Papers	Cites
Gerda Brunhofer	179	124	122	76	75	10	400
Adam Lucas	151 0.8×	39 0.3×	49 0.4×	73 1.0×	108 1.4×	14	380
Akash Marathakam	120 0.7×	97 0.8×	126 1.0×	61 0.8×	20 0.3×	19	380
Marie Jouanne	130 0.7×	42 0.3×	66 0.5×	31 0.4×	22 0.3×	14	368
Leonel Torrão	104 0.6×	64 0.5×	50 0.4×	21 0.3×	53 0.7×	17	377
Mariana Matias	127 0.7×	92 0.7×	67 0.5×	19 0.3×	16 0.2×	16	347
Beatrice Gorelli	169 0.9×	66 0.5×	50 0.4×	16 0.2×	85 1.1×	21	404
Mark R. Nocerini	183 1.0×	62 0.5×	89 0.7×	19 0.3×	45 0.6×	23	428
A. Del Bufalo	156 0.9×	39 0.3×	141 1.2×	18 0.2×	27 0.4×	12	413
Anna Furimsky	153 0.9×	82 0.7×	81 0.7×	27 0.4×	34 0.5×	18	439
Eva Gil-Martins	118 0.7×	50 0.4×	49 0.4×	14 0.2×	28 0.4×	20	423

Countries citing papers authored by Gerda Brunhofer

Since Specialization

Citations

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

Fields of papers citing papers by Gerda Brunhofer

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gerda Brunhofer

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