Mark Igra

799 total citations
8 papers, 511 citations indexed

About

Mark Igra is a scholar working on Molecular Biology, Spectroscopy and Information Systems and Management. According to data from OpenAlex, Mark Igra has authored 8 papers receiving a total of 511 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 5 papers in Spectroscopy and 2 papers in Information Systems and Management. Recurrent topics in Mark Igra's work include Advanced Proteomics Techniques and Applications (5 papers), Metabolomics and Mass Spectrometry Studies (4 papers) and Mass Spectrometry Techniques and Applications (3 papers). Mark Igra is often cited by papers focused on Advanced Proteomics Techniques and Applications (5 papers), Metabolomics and Mass Spectrometry Studies (4 papers) and Mass Spectrometry Techniques and Applications (3 papers). Mark Igra collaborates with scholars based in United States. Mark Igra's co-authors include Jimmy K. Eng, Martin McIntosh, Amanda G. Paulovich, Matthew Fitzgibbon, Ruihua Fang, Peter S. Hussey, Jeffrey R. Whiteaker, Damon May, Jinzhi Chen and Pei Wang and has published in prestigious journals such as Bioinformatics, BMC Bioinformatics and Journal of Proteome Research.

In The Last Decade

Mark Igra

8 papers receiving 506 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Mark Igra United States	6	383	302	32	31	26	8	511
Niels Hulstaert Belgium	11	476 1.2×	318 1.1×	26 0.8×	20 0.6×	14 0.5×	19	589
Josh Eckels United States	8	341 0.9×	204 0.7×	33 1.0×	20 0.6×	31 1.2×	9	504
Matthew The Germany	14	522 1.4×	382 1.3×	33 1.0×	16 0.5×	11 0.4×	27	652
Daniel Walther Switzerland	6	382 1.0×	290 1.0×	21 0.7×	15 0.5×	11 0.4×	9	510
Viktoria Dorfer Austria	9	401 1.0×	261 0.9×	21 0.7×	18 0.6×	11 0.4×	23	562
Ralf Gabriels Belgium	13	514 1.3×	379 1.3×	26 0.8×	18 0.6×	11 0.4×	25	605
Anne Gleizes Switzerland	9	581 1.5×	281 0.9×	9 0.3×	82 2.6×	14 0.5×	14	712
Andreas Hühmer United States	4	563 1.5×	461 1.5×	24 0.8×	23 0.7×	4 0.2×	4	716
Joseph Slagel United States	7	376 1.0×	157 0.5×	23 0.7×	54 1.7×	9 0.3×	7	513
Simon Perkins United Kingdom	11	333 0.9×	254 0.8×	14 0.4×	20 0.6×	8 0.3×	15	439

Countries citing papers authored by Mark Igra

Since Specialization

Citations

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

Fields of papers citing papers by Mark Igra

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mark Igra

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

All Works

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8 of 8 papers shown

1.

Nelson, Elizabeth, et al.. (2013). Ancillary study management systems: a review of needs. BMC Medical Informatics and Decision Making. 13(1). 5–5. 4 indexed citations

2.

Nelson, Elizabeth, Josh Eckels, Peter S. Hussey, et al.. (2011). LabKey Server: An open source platform for scientific data integration, analysis and collaboration. BMC Bioinformatics. 12(1). 71–71. 87 indexed citations

3.

Nelson, Elizabeth, Josh Eckels, Sarah Ramsay, et al.. (2011). LabKey Server NAb: A tool for analyzing, visualizing and sharing results from neutralizing antibody assays. BMC Immunology. 12(1). 33–33. 10 indexed citations

4.

Hussey, Peter S., Elizabeth Nelson, Brian Connolly, et al.. (2011). Installation and Use of LabKey Server for Proteomics. Current Protocols in Bioinformatics. 36(1). 13.5.1–13.5.25. 3 indexed citations

5.

Kelly‐Spratt, Karen S., et al.. (2008). A Mouse Model Repository for Cancer Biomarker Discovery. Journal of Proteome Research. 7(8). 3613–3618. 19 indexed citations

6.

Coram, Marc, Matthew Fitzgibbon, Mark Igra, et al.. (2006). A suite of algorithms for the comprehensive analysis of complex protein mixtures using high-resolution LC-MS. Bioinformatics. 22(15). 1902–1909. 215 indexed citations

7.

Eng, Jimmy K., Matthew Fitzgibbon, Ted Holzman, et al.. (2006). Computational Proteomics Analysis System (CPAS): An Extensible, Open-Source Analytic System for Evaluating and Publishing Proteomic Data and High Throughput Biological Experiments J. Proteome Res. 2006, 5, 112−121.. Journal of Proteome Research. 5(4). 1024–1024. 10 indexed citations

8.

Eng, Jimmy K., Matthew Fitzgibbon, Ted Holzman, et al.. (2005). Computational Proteomics Analysis System (CPAS): An Extensible, Open-Source Analytic System for Evaluating and Publishing Proteomic Data and High Throughput Biological Experiments. Journal of Proteome Research. 5(1). 112–121. 163 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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