Jennifer A. Siepen

768 total citations
13 papers, 549 citations indexed

About

Jennifer A. Siepen is a scholar working on Molecular Biology, Spectroscopy and Information Systems and Management. According to data from OpenAlex, Jennifer A. Siepen has authored 13 papers receiving a total of 549 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 11 papers in Spectroscopy and 1 paper in Information Systems and Management. Recurrent topics in Jennifer A. Siepen's work include Advanced Proteomics Techniques and Applications (11 papers), Mass Spectrometry Techniques and Applications (8 papers) and Metabolomics and Mass Spectrometry Studies (5 papers). Jennifer A. Siepen is often cited by papers focused on Advanced Proteomics Techniques and Applications (11 papers), Mass Spectrometry Techniques and Applications (8 papers) and Metabolomics and Mass Spectrometry Studies (5 papers). Jennifer A. Siepen collaborates with scholars based in United Kingdom, Switzerland and Germany. Jennifer A. Siepen's co-authors include Simon J. Hubbard, Andrew R. Jones, David Knight, Norman W. Paton, David R. Westhead, Sheena E. Radford, Henning Hermjakob, Neil Swainston, J. Selley and Paul Blakeley and has published in prestigious journals such as Nucleic Acids Research, Protein Science and Molecular & Cellular Proteomics.

In The Last Decade

Jennifer A. Siepen

13 papers receiving 544 citations

Peers

Countries citing papers authored by Jennifer A. Siepen

Since Specialization

Citations

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

Fields of papers citing papers by Jennifer A. Siepen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jennifer A. Siepen. 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 Jennifer A. Siepen. The network helps show where Jennifer A. Siepen may publish in the future.

Co-authorship network of co-authors of Jennifer A. Siepen

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

All Works

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13 of 13 papers shown

#	Work	Indexed citations
1	The mzIdentML Data Standard for Mass Spectrometry-Based Proteomics Results 2012 ·Molecular & Cellular Proteomics ·Andrew R. Jones, Martin Eisenacher, Gerhard Mayer, Oliver Kohlbacher, Jennifer A. Siepen, Simon J. Hubbard, J. Selley, Brian C. Searle, (unknown), Sean L. Seymour, Randall K. Julian, Pierre‐Alain Binz, Eric W. Deutsch, Henning Hermjakob, Florian Reisinger, Johannes Griss, Juan Antonio Vizcaíno, Matthew Chambers, Angel Pizarro, David M. Creasy	142
2	FDRAnalysis: A Tool for the Integrated Analysis of Tandem Mass Spectrometry Identification Results from Multiple Search Engines 2011 ·Journal of Proteome Research ·David C. Wedge, Ritesh Krishna, (unknown), Jennifer A. Siepen, Andrew R. Jones, Simon J. Hubbard	15
3	Investigating protein isoforms via proteomics: A feasibility study 2010 ·PROTEOMICS ·Paul Blakeley, Jennifer A. Siepen, Craig Lawless, Simon J. Hubbard	35
4	Improving sensitivity in proteome studies by analysis of false discovery rates for multiple search engines 2009 ·PROTEOMICS ·Andrew R. Jones, Jennifer A. Siepen, Simon J. Hubbard, Norman W. Paton	80
5	PepSeeker: Mining Information from Proteomic Data 2008 ·Methods in molecular biology ·Jennifer A. Siepen, J. Selley, Simon J. Hubbard	5
6	ISPIDER Central: an integrated database web-server for proteomics 2008 ·Nucleic Acids Research ·Jennifer A. Siepen, Khalid Belhajjame, J. Selley, Suzanne M. Embury, Norman W. Paton, Carole Goble, Stephen G. Oliver, R. Stevens, (unknown), Nigel Martin, (unknown), Phil Jones, Rick Cote, Henning Hermjakob, Melissa M. Pentony, David T. Jones, Christine Orengo, Simon J. Hubbard	18
7	An informatic pipeline for the data capture and submission of quantitative proteomic data using iTRAQ TM 2007 ·Proteome Science ·Jennifer A. Siepen, Neil Swainston, Andrew R. Jones, Sarah Hart, Henning Hermjakob, Philip Jones, Simon J. Hubbard	21
8	Capture and analysis of quantitative proteomic data 2007 ·PROTEOMICS ·King Wai Lau, Andrew R. Jones, Neil Swainston, Jennifer A. Siepen, Simon J. Hubbard	39
9	Prediction of Missed Cleavage Sites in Tryptic Peptides Aids Protein Identification in Proteomics 2006 ·Journal of Proteome Research ·Jennifer A. Siepen, (unknown), David Knight, Simon J. Hubbard	131
10	Bioinformatic approaches to improve the identification of peptides from proteomics experiments 2006 ·King Wai Lau, Jennifer A. Siepen	1
11	Proteome Data Integration: Characteristics and Challenges 2005 ·Research Explorer (The University of Manchester) ·Khalid Belhajjame, Suzanne M. Embury, Hao Fan, Carole Goble, Henning Hermjakob, Simon J. Hubbard, David T. Jones, Philip Jones, Nigel Martin, Stephen G. Oliver, Christine Orengo, Norman W. Paton, Alexandra Poulovassilis, Jennifer A. Siepen, Robert Stevens, Chris Taylor, (unknown), (unknown), Weimin Zhu	4
12	β Edge strands in protein structure prediction and aggregation 2003 ·Protein Science ·Jennifer A. Siepen, Sheena E. Radford, David R. Westhead	47
13	The fibril_one on‐line database: Mutations, experimental conditions, and trends associated with amyloid fibril formation 2002 ·Protein Science ·Jennifer A. Siepen, David R. Westhead	11

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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