Hans‐Hermann Wessels

3.1k total citations · 1 hit paper
21 papers, 1.6k citations indexed

About

Hans‐Hermann Wessels is a scholar working on Molecular Biology, Cancer Research and Surgery. According to data from OpenAlex, Hans‐Hermann Wessels has authored 21 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 4 papers in Cancer Research and 2 papers in Surgery. Recurrent topics in Hans‐Hermann Wessels's work include CRISPR and Genetic Engineering (11 papers), RNA Research and Splicing (9 papers) and RNA and protein synthesis mechanisms (8 papers). Hans‐Hermann Wessels is often cited by papers focused on CRISPR and Genetic Engineering (11 papers), RNA Research and Splicing (9 papers) and RNA and protein synthesis mechanisms (8 papers). Hans‐Hermann Wessels collaborates with scholars based in United States, Germany and Japan. Hans‐Hermann Wessels's co-authors include Neville E. Sanjana, Mateusz Legut, Alejandro Méndez‐Mancilla, Zharko Daniloski, Peter Smibert, Uwe Ohler, Eleni P. Mimitou, Lu Lu, Evan Geller and Markus Landthaler and has published in prestigious journals such as Cell, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Hans‐Hermann Wessels

21 papers receiving 1.6k citations

Hit Papers

Massively parallel Cas13 ... 2020 2026 2022 2024 2020 50 100 150 200 250

Author Peers

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

Author Last Decade Papers Cites
Hans‐Hermann Wessels 1.2k 252 244 228 131 21 1.6k
Xueqiu Lin 1.3k 1.1× 186 0.7× 145 0.6× 73 0.3× 214 1.6× 22 1.6k
Andrew P. VanDemark 1.7k 1.4× 102 0.4× 193 0.8× 101 0.4× 100 0.8× 42 2.0k
Jennifer A. Smith 1.0k 0.8× 139 0.6× 106 0.4× 231 1.0× 188 1.4× 28 1.4k
Kuo Ping Chiu 1.4k 1.2× 296 1.2× 290 1.2× 158 0.7× 183 1.4× 17 1.9k
Mainul Hoque 2.1k 1.7× 144 0.6× 288 1.2× 149 0.7× 94 0.7× 44 2.5k
Najwa Alhusaini 1.8k 1.5× 100 0.4× 264 1.1× 102 0.4× 130 1.0× 11 2.0k
Steven J. Madore 1.3k 1.1× 120 0.5× 131 0.5× 224 1.0× 176 1.3× 28 1.7k
Zharko Daniloski 721 0.6× 402 1.6× 73 0.3× 137 0.6× 132 1.0× 12 1.1k
Nanhai He 2.2k 1.8× 291 1.2× 180 0.7× 514 2.3× 174 1.3× 21 2.8k
Joppe Nieuwenhuis 962 0.8× 68 0.3× 123 0.5× 117 0.5× 165 1.3× 13 1.4k

Countries citing papers authored by Hans‐Hermann Wessels

Since Specialization
Citations

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

Fields of papers citing papers by Hans‐Hermann Wessels

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hans‐Hermann Wessels. 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 Hans‐Hermann Wessels. The network helps show where Hans‐Hermann Wessels may publish in the future.

Co-authorship network of co-authors of Hans‐Hermann Wessels

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

All Works

20 of 20 papers shown
1.
Schertzer, Megan D., Keren Isaev, Laura C. J. Pereira, et al.. (2025). Cas13d-mediated isoform-specific RNA knockdown with a unified computational and experimental toolbox. Nature Communications. 16(1). 6948–6948. 2 indexed citations
2.
Jiang, Longda, Efthymia Papalexi, Hans‐Hermann Wessels, et al.. (2025). Systematic reconstruction of molecular pathway signatures using scalable single-cell perturbation screens. Nature Cell Biology. 27(3). 505–517. 5 indexed citations
3.
Müller, Simon, et al.. (2025). Precise RNA targeting with CRISPR–Cas13d. Nature Biotechnology. 44(1). 64–69. 6 indexed citations
4.
Kowalski, Madeline H., Hans‐Hermann Wessels, Johannes Linder, et al.. (2024). Multiplexed single-cell characterization of alternative polyadenylation regulators. Cell. 187(16). 4408–4425.e23. 18 indexed citations
5.
Wessels, Hans‐Hermann, et al.. (2023). Prediction of on-target and off-target activity of CRISPR–Cas13d guide RNAs using deep learning. Nature Biotechnology. 42(4). 628–637. 68 indexed citations
6.
Wessels, Hans‐Hermann, Alejandro Méndez‐Mancilla, Yuhan Hao, et al.. (2022). Efficient combinatorial targeting of RNA transcripts in single cells with Cas13 RNA Perturb-seq. Nature Methods. 20(1). 86–94. 47 indexed citations
7.
Liscovitch‐Brauer, Noa, Antonino Montalbano, Alejandro Méndez‐Mancilla, et al.. (2021). Profiling the genetic determinants of chromatin accessibility with scalable single-cell CRISPR screens. Nature Biotechnology. 39(10). 1270–1277. 64 indexed citations
8.
Papalexi, Efthymia, Eleni P. Mimitou, Andrew Butler, et al.. (2021). Characterizing the molecular regulation of inhibitory immune checkpoints with multimodal single-cell screens. Nature Genetics. 53(3). 322–331. 104 indexed citations
9.
Méndez‐Mancilla, Alejandro, Hans‐Hermann Wessels, Mateusz Legut, et al.. (2021). Chemically modified guide RNAs enhance CRISPR-Cas13 knockdown in human cells. Cell chemical biology. 29(2). 321–327.e4. 39 indexed citations
10.
Guo, Xinyi, Jahan Rahman, Hans‐Hermann Wessels, et al.. (2021). Transcriptome-wide Cas13 guide RNA design for model organisms and viral RNA pathogens. Cell Genomics. 1(1). 100001–100001. 47 indexed citations
11.
Wessels, Hans‐Hermann, et al.. (2020). Massively parallel Cas13 screens reveal principles for guide RNA design. Nature Biotechnology. 38(6). 722–727. 272 indexed citations breakdown →
12.
Daniloski, Zharko, Tristan X. Jordan, Hans‐Hermann Wessels, et al.. (2020). Identification of Required Host Factors for SARS-CoV-2 Infection in Human Cells. Cell. 184(1). 92–105.e16. 348 indexed citations
13.
Legut, Mateusz, Zharko Daniloski, Xinhe Xue, et al.. (2020). High-Throughput Screens of PAM-Flexible Cas9 Variants for Gene Knockout and Transcriptional Modulation. Cell Reports. 30(9). 2859–2868.e5. 41 indexed citations
14.
Wessels, Hans‐Hermann, Svetlana Lebedeva, Antje Hirsekorn, et al.. (2019). Global identification of functional microRNA-mRNA interactions in Drosophila. Nature Communications. 10(1). 1626–1626. 36 indexed citations
15.
Wessels, Hans‐Hermann, et al.. (2018). omniCLIP: probabilistic identification of protein-RNA interactions from CLIP-seq data. Genome biology. 19(1). 183–183. 21 indexed citations
16.
Wessels, Hans‐Hermann, Koshi Imami, Matthias Selbach, et al.. (2016). The mRNA-bound proteome of the early fly embryo. Genome Research. 26(7). 1000–1009. 55 indexed citations
17.
Tattikota, Sudhir Gopal, Thomas Rathjen, Jean Hausser, et al.. (2015). miR-184 Regulates Pancreatic β-Cell Function According to Glucose Metabolism. Journal of Biological Chemistry. 290(33). 20284–20294. 57 indexed citations
18.
Mino, Takashi, Yasuhiro Murakawa, Akira Fukao, et al.. (2015). Regnase-1 and Roquin Regulate a Common Element in Inflammatory mRNAs by Spatiotemporally Distinct Mechanisms. Cell. 161(5). 1058–1073. 288 indexed citations
19.
Tattikota, Sudhir Gopal, Matthias D. Sury, Thomas Rathjen, et al.. (2013). Argonaute2 Regulates the Pancreatic β-Cell Secretome. Molecular & Cellular Proteomics. 12(5). 1214–1225. 37 indexed citations
20.
Bloemberg, Tom G., Hans‐Hermann Wessels, Jolein Gloerich, et al.. (2011). Pinpointing biomarkers in proteomic LC/MS data by moving-window discriminant analysis. Analytica Chimica Acta. 83. 5197–5206. 1 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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