Peter Cimermančič

9.7k total citations · 4 hit papers
29 papers, 6.3k citations indexed

About

Peter Cimermančič is a scholar working on Molecular Biology, Pharmacology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Peter Cimermančič has authored 29 papers receiving a total of 6.3k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Molecular Biology, 8 papers in Pharmacology and 4 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Peter Cimermančič's work include Microbial Natural Products and Biosynthesis (7 papers), Genomics and Phylogenetic Studies (6 papers) and RNA and protein synthesis mechanisms (4 papers). Peter Cimermančič is often cited by papers focused on Microbial Natural Products and Biosynthesis (7 papers), Genomics and Phylogenetic Studies (6 papers) and RNA and protein synthesis mechanisms (4 papers). Peter Cimermančič collaborates with scholars based in United States, Netherlands and United Kingdom. Peter Cimermančič's co-authors include Michael A. Fischbach, Marnix H. Medema, Eriko Takano, Andrej Săli, Victor de Jager, Tilmann Weber, Rainer Breitling, Kai Blin, Mohamed S. Donia and Nevan J. Krogan and has published in prestigious journals such as Nature, Cell and Nucleic Acids Research.

In The Last Decade

Peter Cimermančič

29 papers receiving 6.2k citations

Hit Papers

antiSMASH: rapid identification, annotation and analysis ... 2011 2026 2016 2021 2011 2014 2014 2014 400 800 1.2k
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. antiSMASH: rapid identification, annotation and analysis of secondary metabolite biosynthesis gene clusters in bacterial and fungal genome sequences
    2011 1.5k citations Marnix H. Medema, Kai Blin et al. Nucleic Acids Research profile →
  2. Insights into Secondary Metabolism from a Global Analysis of Prokaryotic Biosynthetic Gene Clusters
    2014 698 citations Peter Cimermančič, Marnix H. Medema et al. Cell profile →
  3. Discovery and Characterization of Gut Microbiota Decarboxylases that Can Produce the Neurotransmitter Tryptamine
    2014 519 citations Brianna B. Williams, A.H. Van Benschoten et al. Cell Host & Microbe profile →
  4. A Systematic Analysis of Biosynthetic Gene Clusters in the Human Microbiome Reveals a Common Family of Antibiotics
    2014 498 citations Mohamed S. Donia, Peter Cimermančič et al. Cell profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Peter Cimermančič United States 26 4.6k 1.9k 651 600 568 29 6.3k
Ziqiang Guan United States 47 4.5k 1.0× 627 0.3× 312 0.5× 572 1.0× 345 0.6× 213 7.4k
Yasuhiro Igarashi Japan 44 3.6k 0.8× 3.4k 1.8× 601 0.9× 1.1k 1.9× 1.6k 2.9× 394 7.8k
Tjaart de Beer United Kingdom 14 6.5k 1.4× 513 0.3× 559 0.9× 1.4k 2.3× 660 1.2× 25 10.7k
Gerardo Tauriello Switzerland 15 6.4k 1.4× 508 0.3× 618 0.9× 1.4k 2.4× 654 1.2× 22 10.5k
Guri Giaever Canada 51 8.3k 1.8× 761 0.4× 715 1.1× 1.4k 2.3× 161 0.3× 129 10.6k
Rafal Gumienny Switzerland 10 6.2k 1.3× 458 0.2× 513 0.8× 1.3k 2.2× 615 1.1× 10 9.9k
Christine Rempfer Germany 5 5.7k 1.2× 454 0.2× 510 0.8× 1.3k 2.2× 625 1.1× 6 9.3k
Florian Heer Switzerland 3 5.3k 1.2× 418 0.2× 479 0.7× 1.2k 2.0× 567 1.0× 4 8.7k
Rosalba Lepore Italy 15 5.7k 1.2× 433 0.2× 483 0.7× 1.3k 2.1× 581 1.0× 27 9.3k
Jason M. Crawford United States 35 2.5k 0.5× 1.3k 0.7× 181 0.3× 555 0.9× 440 0.8× 92 4.2k

Countries citing papers authored by Peter Cimermančič

Since Specialization
Citations

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

Fields of papers citing papers by Peter Cimermančič

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peter Cimermančič

This figure shows the co-authorship network connecting the top 25 collaborators of Peter Cimermančič. A scholar is included among the top collaborators of Peter Cimermančič 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 Peter Cimermančič. Peter Cimermančič 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.
Wong, Pok Fai, Charles Santori, Andrew Homyk, et al.. (2024). Clinical-Grade Validation of an Autofluorescence Virtual Staining System With Human Experts and a Deep Learning System for Prostate Cancer. Modern Pathology. 37(11). 100573–100573. 4 indexed citations
2.
Sadhwani, Apaar, Ali Behrooz, Trissia Brown, et al.. (2021). Comparative analysis of machine learning approaches to classify tumor mutation burden in lung adenocarcinoma using histopathology images. Scientific Reports. 11(1). 16605–16605. 34 indexed citations
3.
Tiwary, Shivani, Roie Levy, Petra Gutenbrunner, et al.. (2019). High-quality MS/MS spectrum prediction for data-dependent and data-independent acquisition data analysis. Nature Methods. 16(6). 519–525. 183 indexed citations
4.
Wang, Xiaorong, Ilan E. Chemmama, Clinton Yu, et al.. (2017). The proteasome-interacting Ecm29 protein disassembles the 26S proteasome in response to oxidative stress. Journal of Biological Chemistry. 292(39). 16310–16320. 77 indexed citations
5.
Viswanath, Shruthi, Ilan E. Chemmama, Peter Cimermančič, & Andrej Săli. (2017). Assessing Exhaustiveness of Stochastic Sampling for Integrative Modeling of Macromolecular Structures. Biophysical Journal. 113(11). 2344–2353. 52 indexed citations
6.
Hadjithomas, Michalis, Ken Chu, Anna Ratner, et al.. (2015). IMG-ABC: A Knowledge Base To Fuel Discovery of Biosynthetic Gene Clusters and Novel Secondary Metabolites. mBio. 6(4). e00932–e00932. 69 indexed citations
7.
Luo, Jie, Peter Cimermančič, Shruthi Viswanath, et al.. (2015). Architecture of the Human and Yeast General Transcription and DNA Repair Factor TFIIH. Molecular Cell. 59(5). 794–806. 74 indexed citations
8.
London, Nir, Rand M. Miller, Shyam Krishnan, et al.. (2014). Covalent docking of large libraries for the discovery of chemical probes. Nature Chemical Biology. 10(12). 1066–1072. 208 indexed citations
9.
Erzberger, Jan P., Florian Stengel, Riccardo Pellarin, et al.. (2014). Molecular Architecture of the 40S⋅eIF1⋅eIF3 Translation Initiation Complex. Cell. 158(5). 1123–1135. 173 indexed citations
10.
Medema, Marnix H., Peter Cimermančič, Andrej Săli, Eriko Takano, & Michael A. Fischbach. (2014). A Systematic Computational Analysis of Biosynthetic Gene Cluster Evolution: Lessons for Engineering Biosynthesis. PLoS Computational Biology. 10(12). e1004016–e1004016. 139 indexed citations
11.
Morris, John H., Giselle M. Knudsen, Erik Verschueren, et al.. (2014). Affinity purification–mass spectrometry and network analysis to understand protein-protein interactions. Nature Protocols. 9(11). 2539–2554. 138 indexed citations
12.
Cimermančič, Peter, Marnix H. Medema, Jan Claesen, et al.. (2014). Insights into Secondary Metabolism from a Global Analysis of Prokaryotic Biosynthetic Gene Clusters. Cell. 158(2). 412–421. 698 indexed citations breakdown →
13.
Williams, Brianna B., A.H. Van Benschoten, Peter Cimermančič, et al.. (2014). Discovery and Characterization of Gut Microbiota Decarboxylases that Can Produce the Neurotransmitter Tryptamine. Cell Host & Microbe. 16(4). 495–503. 519 indexed citations breakdown →
14.
Fernández-Martı́nez, Javier, Yi Shi, Seung Joong Kim, et al.. (2014). Molecular Architecture and Function of the SEA Complex, a Modulator of the TORC1 Pathway. Molecular & Cellular Proteomics. 13(11). 2855–2870. 64 indexed citations
15.
Ryan, Colm J., Peter Cimermančič, Zachary A. Szpiech, et al.. (2013). High-resolution network biology: connecting sequence with function. Nature Reviews Genetics. 14(12). 865–879. 63 indexed citations
16.
Medema, Marnix H., Kai Blin, Peter Cimermančič, et al.. (2011). antiSMASH: rapid identification, annotation and analysis of secondary metabolite biosynthesis gene clusters in bacterial and fungal genome sequences. Nucleic Acids Research. 39(suppl_2). W339–W346. 1481 indexed citations breakdown →
17.
Temkin, Paul, et al.. (2011). SNX27 mediates retromer tubule entry and endosome-to-plasma membrane trafficking of signalling receptors. Nature Cell Biology. 13(6). 715–721. 368 indexed citations
18.
Blažek, Dalibor, Jiří Kohoutek, Koen Bartholomeeusen, et al.. (2011). The Cyclin K/Cdk12 complex maintains genomic stability via regulation of expression of DNA damage response genes. Genes & Development. 25(20). 2158–2172. 353 indexed citations
19.
Naji, Souad, Géza Ambrus, Peter Cimermančič, et al.. (2011). Host Cell Interactome of HIV-1 Rev Includes RNA Helicases Involved in Multiple Facets of Virus Production. Molecular & Cellular Proteomics. 11(4). M111.015313–M111.015313. 109 indexed citations
20.
Jäger, Stefanie, Natali Gulbahce, Peter Cimermančič, et al.. (2010). Purification and characterization of HIV–human protein complexes. Methods. 53(1). 13–19. 44 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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