David M. Creasy

13.8k total citations · 1 hit paper
13 papers, 7.5k citations indexed

About

David M. Creasy is a scholar working on Molecular Biology, Spectroscopy and Infectious Diseases. According to data from OpenAlex, David M. Creasy has authored 13 papers receiving a total of 7.5k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 11 papers in Spectroscopy and 0 papers in Infectious Diseases. Recurrent topics in David M. Creasy's work include Advanced Proteomics Techniques and Applications (11 papers), Mass Spectrometry Techniques and Applications (7 papers) and Bioinformatics and Genomic Networks (4 papers). David M. Creasy is often cited by papers focused on Advanced Proteomics Techniques and Applications (11 papers), Mass Spectrometry Techniques and Applications (7 papers) and Bioinformatics and Genomic Networks (4 papers). David M. Creasy collaborates with scholars based in United Kingdom, Switzerland and United States. David M. Creasy's co-authors include John S. Cottrell, David N. Perkins, Darryl Pappin, Jyoti S. Choudhary, Walter Blackstock, Andrew R. Jones, Pierre‐Alain Binz, Henning Hermjakob, Eric W. Deutsch and Angel Pizarro and has published in prestigious journals such as Nature Biotechnology, Trends in biotechnology and Molecular & Cellular Proteomics.

In The Last Decade

David M. Creasy

12 papers receiving 7.4k citations

Hit Papers

align trajectories sort by overperformance

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.

Probability-based protein identification by searching sequence databases using mass spectrometry data

1999 6.7k citations David N. Perkins, Darryl Pappin et al. Electrophoresis profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
David M. Creasy United Kingdom	10	5.6k	3.6k	490	489	430	13	7.5k
John S. Cottrell United Kingdom	21	6.0k 1.1×	4.3k 1.2×	534 1.1×	534 1.1×	460 1.1×	41	8.8k
Dirk Wolters Germany	32	6.3k 1.1×	4.2k 1.2×	734 1.5×	553 1.1×	649 1.5×	66	9.5k
Andrew A. Gooley Australia	39	4.4k 0.8×	2.4k 0.7×	559 1.1×	436 0.9×	639 1.5×	111	6.7k
David Schieltz United States	29	5.7k 1.0×	2.6k 0.7×	718 1.5×	553 1.1×	392 0.9×	49	7.3k
Brendan MacLean United States	35	6.5k 1.2×	4.3k 1.2×	537 1.1×	368 0.8×	562 1.3×	59	9.4k
Annette Michalski Germany	10	4.5k 0.8×	2.0k 0.6×	571 1.2×	360 0.7×	611 1.4×	11	6.5k
Ashley L. McCormack United States	25	6.3k 1.1×	4.4k 1.2×	829 1.7×	250 0.5×	702 1.6×	35	9.0k
Richard A. Scheltema Netherlands	34	5.3k 0.9×	2.1k 0.6×	822 1.7×	463 0.9×	605 1.4×	62	7.5k
Angelika Görg Germany	42	4.9k 0.9×	2.9k 0.8×	486 1.0×	975 2.0×	271 0.6×	101	8.1k
Matthew Chambers United States	22	4.3k 0.8×	2.7k 0.8×	325 0.7×	250 0.5×	302 0.7×	46	5.9k

Countries citing papers authored by David M. Creasy

Since Specialization

Citations

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

Fields of papers citing papers by David M. Creasy

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David M. Creasy. 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 David M. Creasy. The network helps show where David M. Creasy may publish in the future.

Co-authorship network of co-authors of David M. Creasy

This figure shows the co-authorship network connecting the top 25 collaborators of David M. Creasy. A scholar is included among the top collaborators of David M. Creasy 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 David M. Creasy. David M. Creasy 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

1.

Jones, Andrew R., Martin Eisenacher, Gerhard Mayer, et al.. (2012). The mzIdentML Data Standard for Mass Spectrometry-Based Proteomics Results. Molecular & Cellular Proteomics. 11(7). M111.014381–1. 142 indexed citations

2.

Cottrell, John S., David M. Creasy, & Darryl Pappin. (2012). John Cottrell, David Creasy & Darryl Pappin. Nature Biotechnology. 30(10). 963–963.

3.

Emery, P., et al.. (2011). Hierarchical Clustering of Shotgun Proteomics Data. Molecular & Cellular Proteomics. 10(6). M110.003822–M110.003822. 41 indexed citations

4.

Orchard, Sandra, Eric W. Deutsch, Pierre‐Alain Binz, et al.. (2009). Annual Spring Meeting of the Proteomics Standards Initiative. PROTEOMICS. 9(19). 4429–4432. 7 indexed citations

5.

Orchard, Sandra, Eric W. Deutsch, Pierre‐Alain Binz, et al.. (2008). Annual Spring Meeting of the Proteomics Standards Initiative 23–25 April 2008, Toledo, Spain. PROTEOMICS. 8(20). 4168–4172. 11 indexed citations

6.

Orchard, Sandra, Eric W. Deutsch, Pierre‐Alain Binz, et al.. (2007). Five years of progress in the Standardization of Proteomics Data 4^th Annual Spring Workshop of the HUPO‐Proteomics Standards Initiative April 23–25, 2007 Ecole Nationale Supérieure (ENS), Lyon, France. PROTEOMICS. 7(19). 3436–3440. 39 indexed citations

7.

Creasy, David M. & John S. Cottrell. (2004). Unimod: Protein modifications for mass spectrometry. PROTEOMICS. 4(6). 1534–1536. 259 indexed citations

8.

Creasy, David M. & John S. Cottrell. (2002). Error tolerant searching of uninterpreted tandem mass spectrometry data. PROTEOMICS. 2(10). 1426–1434. 183 indexed citations

9.

Choudhary, Jyoti S., Walter Blackstock, David M. Creasy, & John S. Cottrell. (2001). Matching peptide mass spectra to EST and genomic DNA databases. Trends in biotechnology. 19(10). S17–S22. 52 indexed citations

10.

Choudhary, Jyoti S., Walter Blackstock, David M. Creasy, & John S. Cottrell. (2001). Interrogating the human genome using uninterpreted mass spectrometry data. PROTEOMICS. 1(5). 651–667. 71 indexed citations

11.

Choudhary, Jyoti S., Walter Blackstock, David M. Creasy, & John S. Cottrell. (2001). Matching peptide mass spectra to EST and genomic DNA databases. Trends in biotechnology. 19. 17–22. 11 indexed citations

12.

Choudhary, Jyoti S., Walter Blackstock, David M. Creasy, & John S. Cottrell. (2001). Interrogating the human genome using uninterpreted mass spectrometry data. PROTEOMICS. 1(5). 651–667. 3 indexed citations

13.

Perkins, David N., Darryl Pappin, David M. Creasy, & John S. Cottrell. (1999). Probability-based protein identification by searching sequence databases using mass spectrometry data. Electrophoresis. 20(18). 3551–3567. 6729 indexed citations breakdown →

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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