Deborah M. Heuvelman

2.2k total citations · 1 hit paper
15 papers, 1.8k citations indexed

About

Deborah M. Heuvelman is a scholar working on Molecular Biology, Oncology and Surgery. According to data from OpenAlex, Deborah M. Heuvelman has authored 15 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 6 papers in Oncology and 4 papers in Surgery. Recurrent topics in Deborah M. Heuvelman's work include Drug Transport and Resistance Mechanisms (6 papers), Peroxisome Proliferator-Activated Receptors (4 papers) and Cholesterol and Lipid Metabolism (3 papers). Deborah M. Heuvelman is often cited by papers focused on Drug Transport and Resistance Mechanisms (6 papers), Peroxisome Proliferator-Activated Receptors (4 papers) and Cholesterol and Lipid Metabolism (3 papers). Deborah M. Heuvelman collaborates with scholars based in United States and Belarus. Deborah M. Heuvelman's co-authors include Daniel T. Connolly, Joseph Feder, Ned R. Siegel, Jitka V. Olander, Richard M. Leimgruber, Barry L. Eppley, Jaime L. Masferrer, Barry L. Haymore, Marguerite Marlow and P H Pekala and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Clinical Investigation and Cancer Research.

In The Last Decade

Deborah M. Heuvelman

15 papers receiving 1.8k citations

Hit Papers

Tumor vascular permeability factor stimulates endothelial... 1989 2026 2001 2013 1989 250 500 750 1000

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Deborah M. Heuvelman United States 15 1.1k 417 272 268 191 15 1.8k
Vanitha Ramakrishnan United States 17 784 0.7× 291 0.7× 500 1.8× 290 1.1× 187 1.0× 32 2.8k
Mary C.M. Weiser‐Evans United States 29 1.3k 1.1× 486 1.2× 238 0.9× 277 1.0× 363 1.9× 63 2.1k
Seock‐Won Youn United States 27 1.1k 1.0× 281 0.7× 198 0.7× 377 1.4× 107 0.6× 50 2.0k
A.C. Newby United Kingdom 19 572 0.5× 506 1.2× 233 0.9× 426 1.6× 135 0.7× 27 1.6k
Alykhan Motani United States 13 764 0.7× 218 0.5× 124 0.5× 293 1.1× 116 0.6× 18 1.5k
Dongcheng Wu China 27 1.2k 1.1× 274 0.7× 293 1.1× 307 1.1× 110 0.6× 55 2.2k
Richard Brandl Germany 24 891 0.8× 342 0.8× 175 0.6× 532 2.0× 330 1.7× 61 2.5k
Yoshinobu Toda Japan 26 1.2k 1.0× 440 1.1× 496 1.8× 293 1.1× 287 1.5× 50 2.0k
Shinichi Kiso Japan 31 1.3k 1.1× 375 0.9× 728 2.7× 608 2.3× 185 1.0× 84 3.3k
Nathan M. Krah United States 17 1.1k 1.0× 260 0.6× 194 0.7× 161 0.6× 224 1.2× 21 2.2k

Countries citing papers authored by Deborah M. Heuvelman

Since Specialization
Citations

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

Fields of papers citing papers by Deborah M. Heuvelman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Deborah M. Heuvelman

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

All Works

15 of 15 papers shown
1.
Radi, Zaher A., et al.. (2011). Pharmacologic Evaluation of Sulfasalazine, FTY720, and Anti-IL-12/23p40 in a TNBS-Induced Crohn’s Disease Model. Digestive Diseases and Sciences. 56(8). 2283–2291. 21 indexed citations
2.
Wang, Xing, Deborah M. Heuvelman, James A. Carroll, Dawn Dufield, & Jaime L. Masferrer. (2010). Geldanamycin-Induced PCNA Degradation in Isolated Hsp90 Complex from Cancer Cells. Cancer Investigation. 28(6). 635–641. 16 indexed citations
3.
Davis, Thomas W., Mark Pagel, Ben S. Zweifel, et al.. (2004). Synergy between Celecoxib and Radiotherapy Results from Inhibition of Cyclooxygenase-2-Derived Prostaglandin E2, a Survival Factor for Tumor and Associated Vasculature. Cancer Research. 64(1). 279–285. 87 indexed citations
4.
Davis, Thomas W., et al.. (2004). Inhibition of Cyclooxygenase-2 by Celecoxib Reverses Tumor-Induced Wasting. Journal of Pharmacology and Experimental Therapeutics. 308(3). 929–934. 68 indexed citations
5.
Durley, Richard C., Mark A. Massa, Jane L. Wang, et al.. (2002). Chiral N,N-Disubstituted Trifluoro-3-Amino-2-Propanols Are Potent Inhibitors of Cholesteryl Ester Transfer Protein. Journal of Medicinal Chemistry. 45(18). 3891–3904. 20 indexed citations
6.
Hope, Heidi R., Edward E. Remsen, Charles Lewis, et al.. (2000). Large-Scale Purification of Myeloperoxidase from HL60 Promyelocytic Cells: Characterization and Comparison to Human Neutrophil Myeloperoxidase. Protein Expression and Purification. 18(3). 269–276. 36 indexed citations
7.
Durley, Richard C., Mark A. Massa, Deborah A. Mischke, et al.. (2000). Discovery of Chiral N,N-Disubstituted Trifluoro-3-amino-2-propanols as Potent Inhibitors of Cholesteryl Ester Transfer Protein. Journal of Medicinal Chemistry. 43(24). 4575–4578. 23 indexed citations
8.
Hope, Heidi R., Deborah M. Heuvelman, Kevin L. Duffin, et al.. (2000). Inhibition of cholesteryl ester transfer protein by substituted dithiobisnicotinic acid dimethyl ester: involvement of a critical cysteine. Journal of Lipid Research. 41(10). 1604–1614. 21 indexed citations
9.
Connolly, Daniel T., Deborah M. Heuvelman, & Kevin C. Glenn. (1996). Inactivation of Cholesteryl Ester Transfer Protein by Cysteine Modification. Biochemical and Biophysical Research Communications. 223(1). 42–47. 19 indexed citations
10.
Connolly, Daniel T., Elaine S. Krul, Deborah M. Heuvelman, & Kevin C. Glenn. (1996). Inhibition of cholesteryl ester transfer protein by apolipoproteins, lipopolysaccharides, and cholesteryl sulfate. Biochimica et Biophysica Acta (BBA) - Lipids and Lipid Metabolism. 1304(2). 145–160. 17 indexed citations
11.
Connolly, Daniel T., Jonathan C. McIntyre, Deborah M. Heuvelman, et al.. (1996). Physical and kinetic characterization of recombinant human cholesteryl ester transfer protein. Biochemical Journal. 320(1). 39–47. 24 indexed citations
12.
Eppley, Barry L., et al.. (1991). Free Bone Graft Reconstruction of Irradiated Facial Tissue. Plastic & Reconstructive Surgery. 88(1). 1–11. 42 indexed citations
13.
Pekala, P H, Marguerite Marlow, Deborah M. Heuvelman, & Daniel T. Connolly. (1990). Regulation of hexose transport in aortic endothelial cells by vascular permeability factor and tumor necrosis factor-alpha, but not by insulin.. Journal of Biological Chemistry. 265(30). 18051–18054. 101 indexed citations
14.
Connolly, Daniel T., Deborah M. Heuvelman, Jitka V. Olander, et al.. (1989). Tumor vascular permeability factor stimulates endothelial cell growth and angiogenesis.. Journal of Clinical Investigation. 84(5). 1470–1478. 1090 indexed citations breakdown →
15.
Connolly, Daniel T., Jitka V. Olander, Deborah M. Heuvelman, et al.. (1989). Human Vascular Permeability Factor. Journal of Biological Chemistry. 264(33). 20017–20024. 250 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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