Herman A. Dierick

53 total papers · 2.9k total citations
39 papers, 2.2k citations indexed

About

Herman A. Dierick is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Genetics. According to data from OpenAlex, Herman A. Dierick has authored 39 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 19 papers in Cellular and Molecular Neuroscience and 14 papers in Genetics. Recurrent topics in Herman A. Dierick's work include Neurobiology and Insect Physiology Research (18 papers), Insect and Arachnid Ecology and Behavior (10 papers) and CRISPR and Genetic Engineering (7 papers). Herman A. Dierick is often cited by papers focused on Neurobiology and Insect Physiology Research (18 papers), Insect and Arachnid Ecology and Behavior (10 papers) and CRISPR and Genetic Engineering (7 papers). Herman A. Dierick collaborates with scholars based in United States, Singapore and Belgium. Herman A. Dierick's co-authors include Ralph J. Greenspan, Amy Bejsovec, Thomas W. Glover, Joanne Y. Yew, Scott D. Pletcher, Stephen M. Ostrowski, Tatyana Y. Fedina, Klaus Dreisewerd, Julian F. B. Mercer and Amanda Thomas‐Wilson and has published in prestigious journals such as Science, Nucleic Acids Research and Nature Communications.

In The Last Decade

Herman A. Dierick

38 papers receiving 2.1k citations

Author Peers

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

Author Last Decade Papers Cites
Herman A. Dierick 911 706 589 405 381 39 2.2k
David B. Morton 532 0.6× 910 1.3× 339 0.6× 172 0.4× 379 1.0× 97 2.2k
Tieqiao Wen 1.3k 1.4× 676 1.0× 284 0.5× 232 0.6× 141 0.4× 89 2.4k
Frances Hannan 750 0.8× 970 1.4× 307 0.5× 135 0.3× 256 0.7× 21 1.7k
Yaël Grosjean 303 0.3× 1.3k 1.8× 677 1.1× 396 1.0× 580 1.5× 35 1.7k
Jesse Slone 601 0.7× 1.0k 1.5× 659 1.1× 347 0.9× 553 1.5× 35 1.8k
Tong‐Wey Koh 1.8k 2.0× 1.1k 1.5× 411 0.7× 121 0.3× 149 0.4× 17 2.6k
Soohong Min 348 0.4× 868 1.2× 416 0.7× 185 0.5× 388 1.0× 19 1.6k
Zuoren Wang 1.1k 1.2× 914 1.3× 374 0.6× 222 0.5× 271 0.7× 55 2.4k
Mattias Alenius 1.1k 1.2× 1.2k 1.7× 618 1.0× 318 0.8× 327 0.9× 22 2.4k
Nobuaki Tanaka 778 0.9× 1.5k 2.1× 760 1.3× 486 1.2× 304 0.8× 58 2.9k

Countries citing papers authored by Herman A. Dierick

Since Specialization
Citations

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

Fields of papers citing papers by Herman A. Dierick

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Herman A. Dierick. 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 Herman A. Dierick. The network helps show where Herman A. Dierick may publish in the future.

Co-authorship network of co-authors of Herman A. Dierick

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