Daniel Heid

856 total citations
9 papers, 288 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 288 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), Acute Myeloid Leukemia Research (2 papers) and CRISPR and Genetic Engineering (2 papers). Daniel Heid is often cited by papers focused on Protein Hydrolysis and Bioactive Peptides (3 papers), Acute Myeloid Leukemia Research (2 papers) and CRISPR and Genetic Engineering (2 papers). Daniel Heid collaborates with scholars based in Germany, Switzerland and France. Daniel Heid's co-authors include Moritz Kueblbeck, Jonas Ries, Bianca Nijmeijer, Konstanty Cieśliński, Markus Mund, Ricardo Henriques, Krishna Chaitanya Kasuba, Vilma Jiménez Sabinina, Ulf Matti and Yiming Li 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 284 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Daniel Heid Germany	5	184	145	105	49	32	9	288
Kirti Prakash Germany	11	200 1.1×	239 1.6×	108 1.0×	72 1.5×	18 0.6×	21	428
Isabelle Jansen Germany	6	159 0.9×	174 1.2×	65 0.6×	38 0.8×	45 1.4×	10	320
Justine Mondry Germany	4	175 1.0×	192 1.3×	84 0.8×	44 0.9×	32 1.0×	4	354
Eduard M. Unterauer Germany	6	147 0.8×	145 1.0×	67 0.6×	59 1.2×	27 0.8×	9	306
Hanna Wildhagen Germany	4	137 0.7×	132 0.9×	64 0.6×	37 0.8×	69 2.2×	4	276
Konstanty Cieśliński Germany	4	190 1.0×	164 1.1×	106 1.0×	49 1.0×	93 2.9×	4	307
Manuel Reitberger Germany	3	192 1.0×	114 0.8×	109 1.0×	48 1.0×	30 0.9×	4	257
Rafal Kowalewski Germany	4	133 0.7×	98 0.7×	59 0.6×	51 1.0×	20 0.6×	6	236
Cassandravictoria Innocent United Kingdom	5	195 1.1×	366 2.5×	68 0.6×	71 1.4×	27 0.8×	5	554
Aleksander Szczurek Germany	11	133 0.7×	427 2.9×	82 0.8×	39 0.8×	15 0.5×	23	535

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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9 of 9 papers shown

Heid, Daniel, et al.. (2024). Ion chromatography coupled with optical emission spectrometry (IC-ICP-OES) methodology for the analysis of inositol phosphates in food and feed. Food Chemistry. 463(Pt 4). 141437–141437. 1 indexed citations

Heid, Daniel, Michael Jendrusch, Sabine Aschenbrenner, et al.. (2024). A deep mutational scanning platform to characterize the fitness landscape of anti-CRISPR proteins. Nucleic Acids Research. 52(22). e103–e103.

Milenkovic, Ivan, Sonia Cruciani, Laia Llovera, et al.. (2024). Epitranscriptomic rRNA fingerprinting reveals tissue-of-origin and tumor-specific signatures. Molecular Cell. 85(1). 177–190.e7. 8 indexed citations

Heid, Daniel, et al.. (2024). A novel, robust peptidyl-lys metalloendopeptidase from Trametes coccinea recombinantly expressed in Komagataella phaffii. Applied Microbiology and Biotechnology. 108(1). 103–103. 1 indexed citations

Heid, Daniel, et al.. (2024). Recombinant expression and characterization of the endochitinase Chit36-TA from Trichoderma asperellum in Komagataella phaffii for chitin degradation of black soldier fly exuviae. Bioprocess and Biosystems Engineering. 47(10). 1751–1766. 2 indexed citations

Schmidt, Christina, Christian Rohde, Cornelius Pauli, et al.. (2023). The ribosomal protein S6 kinase alpha-1 (RPS6KA1) induces resistance to venetoclax/azacitidine in acute myeloid leukemia. Leukemia. 37(8). 1611–1625. 14 indexed citations

Waclawiczek, Alexander, Stefanie Göllner, Daniel Heid, et al.. (2022). Protein tyrosine kinase 2b inhibition reverts niche-associated resistance to tyrosine kinase inhibitors in AML. Leukemia. 36(10). 2418–2429. 12 indexed citations

Thevathasan, Jervis Vermal, Maurice Kahnwald, Konstanty Cieśliński, et al.. (2019). Nuclear pores as versatile reference standards for quantitative superresolution microscopy. Nature Methods. 16(10). 1045–1053. 231 indexed citations

Belzen, Julius Upmeier zu, Felix Bubeck, Moritz J. Przybilla, et al.. (2019). Leveraging implicit knowledge in neural networks for functional dissection and engineering of proteins. Nature Machine Intelligence. 1(5). 225–235. 19 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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