Aaron A. Klammer

6.0k total citations · 1 hit paper
8 papers, 3.6k citations indexed

About

Aaron A. Klammer is a scholar working on Molecular Biology, Spectroscopy and Ecology. According to data from OpenAlex, Aaron A. Klammer has authored 8 papers receiving a total of 3.6k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 7 papers in Spectroscopy and 1 paper in Ecology. Recurrent topics in Aaron A. Klammer's work include Advanced Proteomics Techniques and Applications (7 papers), Metabolomics and Mass Spectrometry Studies (6 papers) and Mass Spectrometry Techniques and Applications (6 papers). Aaron A. Klammer is often cited by papers focused on Advanced Proteomics Techniques and Applications (7 papers), Metabolomics and Mass Spectrometry Studies (6 papers) and Mass Spectrometry Techniques and Applications (6 papers). Aaron A. Klammer collaborates with scholars based in United States. Aaron A. Klammer's co-authors include David H. Alexander, Alex Copeland, Chen-Shan Chin, Jonas Korlach, James Drake, John Huddleston, Cheryl Heiner, Evan E. Eichler, Patrick Marks and Alicia Clum and has published in prestigious journals such as Bioinformatics, Analytical Chemistry and Nature Methods.

In The Last Decade

Aaron A. Klammer

8 papers receiving 3.6k citations

Hit Papers

align trajectories

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.

Nonhybrid, finished microbial genome assemblies from long-read SMRT sequencing data

2013 3.1k citations Chen-Shan Chin, David H. Alexander et al. Nature Methods profile →

Peers

Aaron A. Klammer

MB

PS

ECOLO

SPECT

FS

Menno van der Voort Netherlands

A. F. Quinn United Kingdom

Boris Kiryutin United States

Matthew R. Laird Canada

Sona Vasudevan United States

A. N. NIKOL'SKAYA United States

Dmitri M. Krylov United States

Patrick Marks United States

Ulrike Mäder Germany

Aurélien Luciani United Kingdom

Menno van der Voort Netherlands

Aaron A. Klammer

1.4k ×0.6

MB

1.8k ×2.1

PS

599 ×0.7

ECOLO

191 ×0.4

SPECT

257 ×0.7

FS

Citations per year, relative to Aaron A. Klammer Aaron A. Klammer (= 1×) peers Menno van der Voort

Countries citing papers authored by Aaron A. Klammer

Since Specialization

Citations

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

Fields of papers citing papers by Aaron A. Klammer

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Aaron A. Klammer

This figure shows the co-authorship network connecting the top 25 collaborators of Aaron A. Klammer. A scholar is included among the top collaborators of Aaron A. Klammer 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 Aaron A. Klammer. Aaron A. Klammer 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.

Chin, Chen-Shan, David H. Alexander, Patrick Marks, et al.. (2013). Nonhybrid, finished microbial genome assemblies from long-read SMRT sequencing data. Nature Methods. 10(6). 563–569. 3105 indexed citations breakdown →

2.

Klammer, Aaron A., Christopher Y. Park, & William Stafford Noble. (2009). Statistical Calibration of the SEQUEST XCorr Function. Journal of Proteome Research. 8(4). 2106–2113. 46 indexed citations

3.

Park, Christopher Y., Aaron A. Klammer, Lukas Käll, Michael J. MacCoss, & William Stafford Noble. (2008). Rapid and Accurate Peptide Identification from Tandem Mass Spectra. Journal of Proteome Research. 7(7). 3022–3027. 152 indexed citations

4.

Klammer, Aaron A., Sheila M. Reynolds, Jeff Bilmes, Michael J. MacCoss, & William Stafford Noble. (2008). Modeling peptide fragmentation with dynamic Bayesian networks for peptide identification. Bioinformatics. 24(13). i348–i356. 44 indexed citations

5.

Klammer, Aaron A., Xianhua Yi, Michael J. MacCoss, & William Stafford Noble. (2007). Improving Tandem Mass Spectrum Identification Using Peptide Retention Time Prediction across Diverse Chromatography Conditions. Analytical Chemistry. 79(16). 6111–6118. 77 indexed citations

6.

Klammer, Aaron A. & Michael J. MacCoss. (2006). Effects of Modified Digestion Schemes on the Identification of Proteins from Complex Mixtures. Journal of Proteome Research. 5(3). 695–700. 131 indexed citations

7.

Blackler, Adele, Aaron A. Klammer, Michael J. MacCoss, & Christine C. Wu. (2006). Quantitative Comparison of Proteomic Data Quality between a 2D and 3D Quadrupole Ion Trap. Analytical Chemistry. 78(4). 1337–1344. 37 indexed citations

8.

Klammer, Aaron A., et al.. (2005). Peptide charge state determination for low-resolution tandem mass spectra. PubMed. 175–185. 31 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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