David E. Reese

969 total citations
16 papers, 687 citations indexed

About

David E. Reese is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Cancer Research. According to data from OpenAlex, David E. Reese has authored 16 papers receiving a total of 687 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 5 papers in Radiology, Nuclear Medicine and Imaging and 4 papers in Cancer Research. Recurrent topics in David E. Reese's work include Congenital heart defects research (5 papers), Radiomics and Machine Learning in Medical Imaging (3 papers) and Advanced Proteomics Techniques and Applications (3 papers). David E. Reese is often cited by papers focused on Congenital heart defects research (5 papers), Radiomics and Machine Learning in Medical Imaging (3 papers) and Advanced Proteomics Techniques and Applications (3 papers). David E. Reese collaborates with scholars based in United States. David E. Reese's co-authors include David M. Bader, Takashi Mikawa, Aya Wada, Christopher Hall, Megan E. Osler, Yasuo Ishíi, Kristine Kelly, Alisa Poh, Meredith C. Henderson and Michael Silver and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

David E. Reese

15 papers receiving 676 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
David E. Reese United States	11	536	158	126	94	86	16	687
Kevin L. Tompkins United States	8	627 1.2×	125 0.8×	90 0.7×	211 2.2×	56 0.7×	8	752
Lorene Batts United States	7	640 1.2×	179 1.1×	169 1.3×	142 1.5×	41 0.5×	8	806
Amer A. Rana United Kingdom	16	460 0.9×	71 0.4×	248 2.0×	109 1.2×	72 0.8×	29	769
Luis Luna‐Zurita Spain	10	761 1.4×	130 0.8×	113 0.9×	244 2.6×	66 0.8×	11	882
Heesuk Zang United States	8	649 1.2×	93 0.6×	64 0.5×	155 1.6×	67 0.8×	8	934
Cecilia Österholm Sweden	13	542 1.0×	135 0.9×	71 0.6×	76 0.8×	124 1.4×	25	832
Daniëlle Versteeg Netherlands	15	612 1.1×	163 1.0×	47 0.4×	360 3.8×	76 0.9×	21	931
Cornelis J. Boogerd Netherlands	18	700 1.3×	197 1.2×	169 1.3×	365 3.9×	55 0.6×	26	1.0k
Gaetano D’Amato United States	13	886 1.7×	154 1.0×	155 1.2×	304 3.2×	127 1.5×	17	1.1k
Calvin T. Hang United States	8	754 1.4×	76 0.5×	49 0.4×	159 1.7×	128 1.5×	12	863

Countries citing papers authored by David E. Reese

Since Specialization

Citations

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

Fields of papers citing papers by David E. Reese

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David E. Reese

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

Henderson, Meredith C., Michael Silver, David E. Reese, et al.. (2018). A Noninvasive Blood-based Combinatorial Proteomic Biomarker Assay to Detect Breast Cancer in Women over age 50 with BI-RADS 3, 4, or 5 Assessment. Clinical Cancer Research. 25(1). 142–149. 17 indexed citations

Henderson, Meredith C., et al.. (2018). A Combinatorial Proteomic Biomarker Assay to Detect Ovarian Cancer in Women. SHILAP Revista de lepidopterología. 10. 1179299X18756646–1179299X18756646. 1 indexed citations

Lourenço, Ana P., Meredith C. Henderson, Michael Silver, et al.. (2017). A Noninvasive Blood-based Combinatorial Proteomic Biomarker Assay to Detect Breast Cancer in Women Under the Age of 50 Years. Clinical Breast Cancer. 17(7). 516–525.e6. 21 indexed citations

Reese, David E., et al.. (2017). Breast density does not impact the ability of Videssa® Breast to detect breast cancer in women under age 50. PLoS ONE. 12(10). e0186198–e0186198. 6 indexed citations

Henderson, Meredith C., et al.. (2016). Integration of Serum Protein Biomarker and Tumor Associated Autoantibody Expression Data Increases the Ability of a Blood-Based Proteomic Assay to Identify Breast Cancer. PLoS ONE. 11(8). e0157692–e0157692. 25 indexed citations

Hollingsworth, Alan B. & David E. Reese. (2014). Potential Use of Biomarkers to Augment Clinical Decisions for the Early Detection of Breast Cancer. 10(2). 103–103. 3 indexed citations

Henderson, Meredith C., et al.. (2013). dtectDx Breast: A serum biomarker test for breast cancer detection used in conjunction with traditional mammography screening.. Journal of Clinical Oncology. 31(26_suppl). 18–18. 1 indexed citations

Reese, David E., Christopher Hall, & Takashi Mikawa. (2004). Negative Regulation of Midline Vascular Development by the Notochord. Developmental Cell. 6(5). 699–708. 78 indexed citations

Mikawa, Takashi, Alisa Poh, Kristine Kelly, Yasuo Ishíi, & David E. Reese. (2004). Induction and patterning of the primitive streak, an organizing center of gastrulation in the amniote. Developmental Dynamics. 229(3). 422–432. 54 indexed citations

10.

Ishíi, Yasuo, David E. Reese, & Takashi Mikawa. (2004). Somatic transgenesis using retroviral vectors in the chicken embryo. Developmental Dynamics. 229(3). 630–642. 20 indexed citations

11.

Wada, Aya, et al.. (2003). Epicardial/Mesothelial Cell Line Retains Vasculogenic Potential of Embryonic Epicardium. Circulation Research. 92(5). 525–531. 91 indexed citations

12.

Reese, David E., et al.. (2002). Anastrozole in the management of breast cancer. Expert Opinion on Pharmacotherapy. 3(9). 1329–1339. 4 indexed citations

13.

Reese, David E., Takashi Mikawa, & David M. Bader. (2002). Development of the Coronary Vessel System. Circulation Research. 91(9). 761–768. 172 indexed citations

14.

Wada, Aya, David E. Reese, & David M. Bader. (2001). Bves: prototype of a new class of cell adhesion molecules expressed during coronary artery development. Development. 128(11). 2085–2093. 87 indexed citations

15.

Reese, David E., et al.. (1999). bves:A Novel Gene Expressed during Coronary Blood Vessel Development. Developmental Biology. 209(1). 159–171. 80 indexed citations

16.

Reese, David E. & David M. Bader. (1999). Cloning and expression of hbves, a novel and highly conserved mRNA expressed in the developing and adult heart and skeletal muscle in the human. Mammalian Genome. 10(9). 913–915. 27 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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