Damian Fermin

3.3k total citations
14 papers, 1.1k citations indexed

About

Damian Fermin is a scholar working on Spectroscopy, Molecular Biology and Cell Biology. According to data from OpenAlex, Damian Fermin has authored 14 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Spectroscopy, 13 papers in Molecular Biology and 1 paper in Cell Biology. Recurrent topics in Damian Fermin's work include Advanced Proteomics Techniques and Applications (14 papers), Mass Spectrometry Techniques and Applications (7 papers) and Metabolomics and Mass Spectrometry Studies (4 papers). Damian Fermin is often cited by papers focused on Advanced Proteomics Techniques and Applications (14 papers), Mass Spectrometry Techniques and Applications (7 papers) and Metabolomics and Mass Spectrometry Studies (4 papers). Damian Fermin collaborates with scholars based in United States, Singapore and Canada. Damian Fermin's co-authors include Alexey I. Nesvizhskii, Hyungwon Choi, David J. States, Gilbert S. Omenn, Kang Ning, Thomas W. Blackwell, Samir Hanash, Jimmy K. Eng, David W. Speicher and Venkatesha Basrur and has published in prestigious journals such as Nature Biotechnology, Bioinformatics and Cancer Research.

In The Last Decade

Damian Fermin

14 papers receiving 1.1k citations

Peers

Damian Fermin

SPECT

ONCOL

EPIDE

Heiner Koch Germany

Chee Sian Gan Singapore

Niels Goedecke Germany

Karen Meyer-Arendt United States

Wenjing Zhou China

Kai A. Reidegeld Germany

Stephanie Kaspar‐Schoenefeld Germany

Poh Kuan Chong United Kingdom

Andrew F. Jarnuczak United Kingdom

Aleksey Nakorchevsky United States

Heiner Koch Germany

Damian Fermin

706 ×0.8

451 ×0.7

SPECT

82 ×1.2

ONCOL

73 ×1.1

43 ×0.8

EPIDE

Citations per year, relative to Damian Fermin Damian Fermin (= 1×) peers Heiner Koch

Countries citing papers authored by Damian Fermin

Since Specialization

Citations

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

Fields of papers citing papers by Damian Fermin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Damian Fermin

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

All Works

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14 of 14 papers shown

Koh, Hiromi W.L., Damian Fermin, Jean‐Philippe Lambert, et al.. (2016). SAINTq: Scoring protein‐protein interactions in affinity purification – mass spectrometry experiments with fragment or peptide intensity data. PROTEOMICS. 16(15-16). 2238–2245. 32 indexed citations

Choi, Hyungwon, et al.. (2015). QPROT: Statistical method for testing differential expression using protein-level intensity data in label-free quantitative proteomics. Journal of Proteomics. 129. 121–126. 51 indexed citations

Koh, Hiromi W.L., et al.. (2015). EBprot: Statistical analysis of labeling‐based quantitative proteomics data. PROTEOMICS. 15(15). 2580–2591. 9 indexed citations

Fermin, Damian, Dmitry M. Avtonomov, Hyungwon Choi, & Alexey I. Nesvizhskii. (2014). LuciPHOr2: site localization of generic post-translational modifications from tandem mass spectrometry data. Bioinformatics. 31(7). 1141–1143. 26 indexed citations

Fermin, Damian, Scott J. Walmsley, Anne‐Claude Gingras, Hyungwon Choi, & Alexey I. Nesvizhskii. (2013). LuciPHOr: Algorithm for Phosphorylation Site Localization with False Localization Rate Estimation Using Modified Target-Decoy Approach. Molecular & Cellular Proteomics. 12(11). 3409–3419. 60 indexed citations

Ning, Kang, Damian Fermin, & Alexey I. Nesvizhskii. (2012). Comparative Analysis of Different Label-Free Mass Spectrometry Based Protein Abundance Estimates and Their Correlation with RNA-Seq Gene Expression Data. Journal of Proteome Research. 11(4). 2261–2271. 107 indexed citations

Fermin, Damian, Venkatesha Basrur, Anastasia K. Yocum, & Alexey I. Nesvizhskii. (2011). Abacus: A computational tool for extracting and pre‐processing spectral count data for label‐free quantitative proteomic analysis. PROTEOMICS. 11(7). 1340–1345. 87 indexed citations

Shteynberg, David, Eric W. Deutsch, Henry Lam, et al.. (2011). iProphet: Improved statistical validation of peptide and protein identifications in shotgun proteomics. 1 indexed citations

Ning, Kang, Damian Fermin, & Alexey I. Nesvizhskii. (2010). Computational analysis of unassigned high‐quality MS/MS spectra in proteomic data sets. PROTEOMICS. 10(14). 2712–2718. 54 indexed citations

10.

Fermin, Damian, et al.. (2010). Nesvizhskii. Computational Analysis of Unassigned High Quality MS/MS Spectra in Large-scale Proteomic Datasets. 1 indexed citations

11.

Menon, Rajasree, Qing Zhang, Damian Fermin, et al.. (2008). Identification of Novel Alternative Splice Isoforms of Circulating Proteins in a Mouse Model of Human Pancreatic Cancer. Cancer Research. 69(1). 300–309. 60 indexed citations

12.

Choi, Hyungwon, Damian Fermin, & Alexey I. Nesvizhskii. (2008). Significance Analysis of Spectral Count Data in Label-free Shotgun Proteomics. Molecular & Cellular Proteomics. 7(12). 2373–2385. 293 indexed citations

13.

Fermin, Damian, Thomas W. Blackwell, Rajasree Menon, et al.. (2006). Novel gene and gene model detection using a whole genome open reading frame analysis in proteomics. Genome biology. 7(4). R35–R35. 109 indexed citations

14.

States, David J., Gilbert S. Omenn, Thomas W. Blackwell, et al.. (2006). Challenges in deriving high-confidence protein identifications from data gathered by a HUPO plasma proteome collaborative study. Nature Biotechnology. 24(3). 333–338. 252 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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