Ted Holzman

1.4k total citations
16 papers, 875 citations indexed

About

Ted Holzman is a scholar working on Molecular Biology, Spectroscopy and Genetics. According to data from OpenAlex, Ted Holzman has authored 16 papers receiving a total of 875 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 4 papers in Spectroscopy and 3 papers in Genetics. Recurrent topics in Ted Holzman's work include Metabolomics and Mass Spectrometry Studies (4 papers), Advanced Proteomics Techniques and Applications (4 papers) and Reading and Literacy Development (3 papers). Ted Holzman is often cited by papers focused on Metabolomics and Mass Spectrometry Studies (4 papers), Advanced Proteomics Techniques and Applications (4 papers) and Reading and Literacy Development (3 papers). Ted Holzman collaborates with scholars based in United States, Sweden and Canada. Ted Holzman's co-authors include Martin McIntosh, Jimmy K. Eng, Damon May, Wendy H. Raskind, Ho Yi Mak, Evgeni Efimenko, Gary Ruvkun, James H. Thomas, Kerry L. Bubb and Ellen M. Wijsman and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Development and Journal of Virology.

In The Last Decade

Ted Holzman

16 papers receiving 855 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ted Holzman United States	12	506	262	241	145	73	16	875
Naoko Shinya Japan	13	424 0.8×	67 0.3×	18 0.1×	96 0.7×	33 0.5×	17	730
Alexander Franks United States	10	658 1.3×	101 0.4×	112 0.5×	6 0.0×	47 0.6×	18	951
Michael P. McKenna United States	10	337 0.7×	229 0.9×	10 0.0×	10 0.1×	1 0.0×	17	878
Yupeng He United States	13	905 1.8×	335 1.3×	39 0.2×	6 0.0×		29	1.3k
Brooks Quimby United States	15	432 0.9×	31 0.1×	5 0.0×	31 0.2×	2 0.0×	17	621
Michael J. Pikaart United States	13	1.3k 2.5×	437 1.7×	17 0.1×	3 0.0×		24	1.5k
Manu Kohli United States	11	496 1.0×	132 0.5×	5 0.0×	8 0.1×		24	762
Carolyn Church Landel United States	11	809 1.6×	158 0.6×	3 0.0×	26 0.2×		14	967
Stephanie Richards United States	14	1.1k 2.2×	77 0.3×	6 0.0×	10 0.1×		24	1.4k

Countries citing papers authored by Ted Holzman

Since Specialization

Citations

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

Fields of papers citing papers by Ted Holzman

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ted Holzman

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

All Works

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16 of 16 papers shown

May, Damon, Sandi L. Navarro, Ingo Ruczinski, et al.. (2013). Metabolomic profiling of urine: response to a randomised, controlled feeding study of select fruits and vegetables, and application to an observational study. British Journal Of Nutrition. 110(10). 1760–1770. 53 indexed citations

Whitmore, Theodore E., Amelia C. Peterson, Ted Holzman, et al.. (2012). Integrative Analysis of N-Linked Human Glycoproteomic Data Sets Reveals PTPRF Ectodomain as a Novel Plasma Biomarker Candidate for Prostate Cancer. Journal of Proteome Research. 11(5). 2653–2665. 18 indexed citations

Martin, Daniel B., Ted Holzman, Damon May, et al.. (2008). MRMer, an Interactive Open Source and Cross-platform System for Data Extraction and Visualization of Multiple Reaction Monitoring Experiments. Molecular & Cellular Proteomics. 7(11). 2270–2278. 69 indexed citations

May, Damon, Yan Liu, Ted Holzman, et al.. (2007). A Platform for Accurate Mass and Time Analyses of Mass Spectrometry Data. Journal of Proteome Research. 6(7). 2685–2694. 69 indexed citations

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

Raskind, Wendy H., Robert P. Igo, N.H. Chapman, et al.. (2005). A genome scan in multigenerational families with dyslexia: Identification of a novel locus on chromosome 2q that contributes to phonological decoding efficiency. Molecular Psychiatry. 10(7). 699–711. 58 indexed citations

Igo, Robert P., Nicola H. Chapman, Virginia W. Berninger, et al.. (2005). Genomewide scan for real‐word reading subphenotypes of dyslexia: Novel chromosome 13 locus and genetic complexity. American Journal of Medical Genetics Part B Neuropsychiatric Genetics. 141B(1). 15–27. 39 indexed citations

Efimenko, Evgeni, Kerry L. Bubb, Ho Yi Mak, et al.. (2005). Analysis of xbx genes in C. elegans. Development. 132(8). 1923–1934. 149 indexed citations

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

10.

Chapman, Nicola H., Robert P. Igo, Jennifer B. Thomson, et al.. (2004). Linkage analyses of four regions previously implicated in dyslexia: Confirmation of a locus on chromosome 15q. American Journal of Medical Genetics Part B Neuropsychiatric Genetics. 131B(1). 67–75. 73 indexed citations

11.

Holzman, Ted & Eugene Kolker. (2004). Statistical analysis of global gene expression data: some practical considerations. Current Opinion in Biotechnology. 15(1). 52–57. 18 indexed citations

12.

Wijsman, Ellen M., et al.. (2003). Familial Aggregation Patterns in Mathematical Ability. Behavior Genetics. 34(1). 51–62. 7 indexed citations

13.

Geiss, Gary, Victoria S. Carter, Yupeng He, et al.. (2003). Gene Expression Profiling of the Cellular Transcriptional Network Regulated by Alpha/Beta Interferon and Its Partial Attenuation by the Hepatitis C Virus Nonstructural 5A Protein. Journal of Virology. 77(11). 6367–6375. 91 indexed citations

14.

Mahairas, Gregory G., James C. Wallace, K R Smith, et al.. (1999). Sequence-tagged connectors: A sequence approach to mapping and scanning the human genome. Proceedings of the National Academy of Sciences. 96(17). 9739–9744. 52 indexed citations

15.

Bruce, Robert A., et al.. (1981). A computer terminal program to evaluate cardiovascular functional limits and estimate coronary event risks.. PubMed. 135(4). 342–50. 5 indexed citations

16.

Bruce, R A, et al.. (1979). A Computer Terminal Program for Evaluation of Cardiovascular Function Limits and Estimation of Coronary Event Risk. Europe PMC (PubMed Central). 787–792. 1 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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