Daniéli Gerhardt

34 total papers · 410 total citations
13 papers, 317 citations indexed

About

Daniéli Gerhardt is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Biochemistry. According to data from OpenAlex, Daniéli Gerhardt has authored 13 papers receiving a total of 317 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 3 papers in Cellular and Molecular Neuroscience and 3 papers in Biochemistry. Recurrent topics in Daniéli Gerhardt's work include Traditional and Medicinal Uses of Annonaceae (3 papers), Mitochondrial Function and Pathology (2 papers) and Neuroscience and Neuropharmacology Research (2 papers). Daniéli Gerhardt is often cited by papers focused on Traditional and Medicinal Uses of Annonaceae (3 papers), Mitochondrial Function and Pathology (2 papers) and Neuroscience and Neuropharmacology Research (2 papers). Daniéli Gerhardt collaborates with scholars based in Brazil. Daniéli Gerhardt's co-authors include Christianne Gazzana Salbego, Ana Paula Horn, Rudimar Luiz Frozza, Fabrício Simão, Juliana Bender Hoppe, Guido Lenz, Patrícia Dillenburg-Pilla, Lauren Lúcia Zamin, Melissa Nassif and Fernanda Bueno Morrone and has published in prestigious journals such as Life Sciences, European Journal of Cancer and Neurobiology of Disease.

In The Last Decade

Daniéli Gerhardt

12 papers receiving 314 citations

Author Peers

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

Author Last Decade Papers Cites
Daniéli Gerhardt 146 97 63 44 40 13 317
Qiaoqi Wu 186 1.3× 120 1.2× 40 0.6× 58 1.3× 23 0.6× 13 353
Jeney Ramírez-Sánchez 103 0.7× 102 1.1× 117 1.9× 103 2.3× 15 0.4× 22 342
Yamila Verdecia-Reyes 100 0.7× 78 0.8× 92 1.5× 81 1.8× 13 0.3× 27 312
Seyede Nazanin Zarneshan 135 0.9× 70 0.7× 29 0.5× 35 0.8× 16 0.4× 10 318
Amira Namsi 166 1.1× 37 0.4× 29 0.5× 28 0.6× 18 0.5× 10 357
Hyugsung Kwon 123 0.8× 70 0.7× 51 0.8× 39 0.9× 12 0.3× 7 354
Haiyan Hu 205 1.4× 83 0.9× 26 0.4× 52 1.2× 10 0.3× 28 358
Liangmiao Wu 117 0.8× 58 0.6× 53 0.8× 104 2.4× 11 0.3× 20 334
Mohammad Mehdi Gravandi 120 0.8× 64 0.7× 30 0.5× 34 0.8× 21 0.5× 16 294
Fengwei Nan 153 1.0× 92 0.9× 16 0.3× 93 2.1× 39 1.0× 8 366

Countries citing papers authored by Daniéli Gerhardt

Since Specialization
Citations

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

Fields of papers citing papers by Daniéli Gerhardt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniéli Gerhardt

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

All Works

Loading papers...

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026