Daniel Heid

37 total papers · 829 total citations
9 papers, 282 citations indexed

About

Daniel Heid is a scholar working on Molecular Biology, Hematology and Biophysics. According to data from OpenAlex, Daniel Heid has authored 9 papers receiving a total of 282 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 2 papers in Hematology and 2 papers in Biophysics. Recurrent topics in Daniel Heid's work include Protein Hydrolysis and Bioactive Peptides (3 papers), CRISPR and Genetic Engineering (2 papers) and Acute Myeloid Leukemia Research (2 papers). Daniel Heid is often cited by papers focused on Protein Hydrolysis and Bioactive Peptides (3 papers), CRISPR and Genetic Engineering (2 papers) and Acute Myeloid Leukemia Research (2 papers). Daniel Heid collaborates with scholars based in Germany, France and Poland. Daniel Heid's co-authors include Konstanty Cieśliński, Vilma Jiménez Sabinina, Jonas Ries, Pedro M. Pereira, Markus Mund, Moritz Kueblbeck, Yule Wu, Manuel Reitberger, Bianca Nijmeijer and Ricardo Henriques and has published in prestigious journals such as Nucleic Acids Research, Molecular Cell and Nature Methods.

In The Last Decade

Daniel Heid

8 papers receiving 278 citations

Author Peers

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

Author Last Decade Papers Cites
Daniel Heid 181 144 105 49 31 9 282
Hanna Wildhagen 135 0.7× 128 0.9× 64 0.6× 36 0.7× 69 2.2× 4 271
Isabelle Jansen 154 0.9× 172 1.2× 65 0.6× 37 0.8× 45 1.5× 10 310
Eduard M. Unterauer 138 0.8× 145 1.0× 64 0.6× 57 1.2× 27 0.9× 9 295
Anish R. Roy 123 0.7× 143 1.0× 69 0.7× 57 1.2× 63 2.0× 15 322
Konstanty Cieśliński 187 1.0× 163 1.1× 106 1.0× 49 1.0× 90 2.9× 4 299
Manuel Reitberger 189 1.0× 114 0.8× 109 1.0× 48 1.0× 29 0.9× 4 252
Rafal Kowalewski 125 0.7× 98 0.7× 56 0.5× 49 1.0× 20 0.6× 6 225
Frank Sieckmann 116 0.6× 152 1.1× 81 0.8× 22 0.4× 23 0.7× 7 271
Sebastian Reinhard 138 0.8× 102 0.7× 73 0.7× 41 0.8× 35 1.1× 13 244
Nazar Oleksiievets 170 0.9× 123 0.9× 67 0.6× 137 2.8× 24 0.8× 12 327

Countries citing papers authored by Daniel Heid

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Heid

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Heid

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