David B. Krizman

5.2k total citations
59 papers, 2.8k citations indexed

About

David B. Krizman is a scholar working on Molecular Biology, Oncology and Spectroscopy. According to data from OpenAlex, David B. Krizman has authored 59 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Molecular Biology, 11 papers in Oncology and 11 papers in Spectroscopy. Recurrent topics in David B. Krizman's work include Molecular Biology Techniques and Applications (17 papers), Advanced Proteomics Techniques and Applications (11 papers) and Monoclonal and Polyclonal Antibodies Research (10 papers). David B. Krizman is often cited by papers focused on Molecular Biology Techniques and Applications (17 papers), Advanced Proteomics Techniques and Applications (11 papers) and Monoclonal and Polyclonal Antibodies Research (10 papers). David B. Krizman collaborates with scholars based in United States, Australia and Canada. David B. Krizman's co-authors include Bradley R. Ringeisen, Jason A. Barron, Michael R. Emmert‐Buck, Marlene Darfler, Thomas P. Conrads, Brian L. Hood, Vladimir Knežević, Timothy D. Veenstra, J. Silvio Gutkind and Lance A. Liotta and has published in prestigious journals such as Nucleic Acids Research, Nature Genetics and Journal of Clinical Oncology.

In The Last Decade

David B. Krizman

58 papers receiving 2.7k citations

Peers

David B. Krizman
Jonathan D. Humphries United Kingdom
Adam Byron United Kingdom
George E. Plopper United States
Scott E. Guimond United Kingdom
Chunhui Xu United States
Dirk Winkler Germany
Carol Otey United States
Jonathan D. Humphries United Kingdom
David B. Krizman
Citations per year, relative to David B. Krizman David B. Krizman (= 1×) peers Jonathan D. Humphries

Countries citing papers authored by David B. Krizman

Since Specialization
Citations

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

Fields of papers citing papers by David B. Krizman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David B. Krizman

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

All Works

20 of 20 papers shown
1.
Krizman, David B., et al.. (2014). Application of tissue mesodissection to molecular cancer diagnostics. Journal of Clinical Pathology. 68(2). 166–169. 4 indexed citations
2.
Catenacci, Daniel V.T., Wei‐Li Liao, Sheeno Thyparambil, et al.. (2014). Absolute Quantitation of Met Using Mass Spectrometry for Clinical Application: Assay Precision, Stability, and Correlation with MET Gene Amplification in FFPE Tumor Tissue. PLoS ONE. 9(7). e100586–e100586. 40 indexed citations
3.
Krizman, David B. & Jon Burrows. (2013). Use of Formalin-Fixed, Paraffin-Embedded Tissue for Proteomic Biomarker Discovery. Methods in molecular biology. 1002. 85–92. 6 indexed citations
4.
Hembrough, Todd, Sheeno Thyparambil, Wei‐Li Liao, et al.. (2012). Selected Reaction Monitoring (SRM) Analysis of Epidermal Growth Factor Receptor (EGFR) in Formalin Fixed Tumor Tissue. Clinical Proteomics. 9(1). 5–5. 50 indexed citations
5.
Bateman, Nicholas W., Mai Sun, Rohit Bhargava, et al.. (2010). Differential Proteomic Analysis of Late-Stage and Recurrent Breast Cancer from Formalin-Fixed Paraffin-Embedded Tissues. Journal of Proteome Research. 10(3). 1323–1332. 37 indexed citations
6.
Patel, Vyomesh, Brian L. Hood, Alfredo Molinolo, et al.. (2008). Proteomic Analysis of Laser-Captured Paraffin-Embedded Tissues: A Molecular Portrait of Head and Neck Cancer Progression. Clinical Cancer Research. 14(4). 1002–1014. 153 indexed citations
7.
Braunschweig, Till, Klaus Kaserer, Joon‐Yong Chung, et al.. (2007). Proteomic expression profiling of thyroid neoplasms. PROTEOMICS - CLINICAL APPLICATIONS. 1(3). 264–271. 14 indexed citations
8.
Hood, Brian L., Marlene Darfler, Thomas Guiel, et al.. (2005). Proteomic Analysis of Formalin-fixed Prostate Cancer Tissue. Molecular & Cellular Proteomics. 4(11). 1741–1753. 219 indexed citations
9.
Kaserer, Klaus, Vladimir Knežević, Christian Scheuba, et al.. (2002). Construction of cDNA Libraries from Microdissected Benign and Malignant Thyroid Tissue. Laboratory Investigation. 82(12). 1707–1714. 9 indexed citations
10.
Chuaqui, Rodrigo, Robert F. Bonner, Carolyn J.M. Best, et al.. (2002). Post-analysis follow-up and validation of microarray experiments. Nature Genetics. 32(S4). 509–514. 335 indexed citations
11.
Knežević, Vladimir, Chidchanok Leethanakul, Verena E. Bichsel, et al.. (2001). Proteomic profiling of the cancer microenvironment by antibody arrays. PROTEOMICS. 1(10). 1271–1278. 235 indexed citations
12.
Leethanakul, Chidchanok, V. Patel, James W. Gillespie, et al.. (2000). Gene expression profiles in squamous cell carcinomas of the oral cavity: use of laser capture microdissection for the construction and analysis of stage-specific cDNA libraries. Oral Oncology. 36(5). 474–483. 68 indexed citations
13.
Best, Carolyn J.M., John W. Gillespie, John D. Pfeifer, et al.. (2000). New Approaches to Molecular Profiling of Tissue Samples. Analytical Cellular Pathology. 20(1). 1–6. 8 indexed citations
14.
Krizman, David B., Lukas Wagner, Alex Lash, Robert L. Strausberg, & Michael R. Emmert‐Buck. (1999). The Cancer Genome Anatomy Project: EST Sequencing and the Genetics of Cancer Progression. Neoplasia. 1(2). 101–106. 30 indexed citations
15.
Krizman, David B., et al.. (1998). Microdissection, microchip arrays, and molecular analysis of tumor cells (primary and metastases). Seminars in Radiation Oncology. 8(3). 217–223. 19 indexed citations
16.
Elkahloun, Abdel, et al.. (1997). Transcript Mapping in a 46-kb Sequenced Region at the Core of 12q13.3 Amplification in Human Cancers. Genomics. 42(2). 295–301. 30 indexed citations
17.
Krizman, David B., et al.. (1995). Identification of 3'-terminal exons from yeast artificial chromosomes.. Genome Research. 4(6). 322–326. 3 indexed citations
18.
Bar, Isabelle, Catherine Lambert de Rouvroit, Inès Royaux, et al.. (1995). A YAC contig containing the reeler locus with preliminary characterization of candidate gene fragments. Genomics. 26(3). 543–549. 67 indexed citations
19.
Feijter, Adriaan W. de, James E. Trosko, David B. Krizman, Russell M. Lebovitz, & Michael W. Lieberman. (1992). Correlation of increased levels of Ha‐ras T24 protein with extent of loss of gap junction function in rat liver epithelial cells. Molecular Carcinogenesis. 5(3). 205–212. 25 indexed citations
20.
Krizman, David B., B. C. Giovanella, & Michael A. Tainsky. (1990). Susceptibility forN-ras-mediated transformation requires loss of tumor suppressor activity. Somatic Cell and Molecular Genetics. 16(1). 15–27. 9 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026