Daniel C. Rabe

1.7k total citations
24 papers, 1.2k citations indexed

About

Daniel C. Rabe is a scholar working on Molecular Biology, Cancer Research and Pathology and Forensic Medicine. According to data from OpenAlex, Daniel C. Rabe has authored 24 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 8 papers in Cancer Research and 7 papers in Pathology and Forensic Medicine. Recurrent topics in Daniel C. Rabe's work include Cancer Mechanisms and Therapy (7 papers), Liver physiology and pathology (6 papers) and Extracellular vesicles in disease (4 papers). Daniel C. Rabe is often cited by papers focused on Cancer Mechanisms and Therapy (7 papers), Liver physiology and pathology (6 papers) and Extracellular vesicles in disease (4 papers). Daniel C. Rabe collaborates with scholars based in United States and United Kingdom. Daniel C. Rabe's co-authors include Donald P. Bottaro, Franco Cecchi, Marsha Rich Rosner, Casey Frankenberger, Felicia Rustandy, Shannon L. Stott, Marcelo G. Bonini, Sydney M. Sanderson, Payal Tiwari and Peter C. Hart and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and PLoS ONE.

In The Last Decade

Daniel C. Rabe

22 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel C. Rabe United States 14 637 366 270 270 240 24 1.2k
Xiaofeng Zhang China 20 362 0.6× 453 1.2× 355 1.3× 345 1.3× 162 0.7× 44 1.2k
Dominik Pfister Germany 7 442 0.7× 541 1.5× 350 1.3× 328 1.2× 224 0.9× 9 1.4k
Teresa García‐Lezana United States 11 567 0.9× 242 0.7× 374 1.4× 417 1.5× 238 1.0× 17 1.2k
Zhixing Guo China 14 459 0.7× 350 1.0× 182 0.7× 162 0.6× 166 0.7× 37 1.1k
Hao‐Xiang Wu China 22 520 0.8× 596 1.6× 120 0.4× 393 1.5× 289 1.2× 38 1.3k
Sven A. Lang Germany 24 928 1.5× 449 1.2× 103 0.4× 298 1.1× 174 0.7× 44 1.5k
Changzhen Shang China 21 920 1.4× 436 1.2× 429 1.6× 581 2.2× 239 1.0× 65 1.7k
Le‐Qun Li China 20 685 1.1× 542 1.5× 312 1.2× 598 2.2× 197 0.8× 63 1.5k
Christina Hackl Germany 21 492 0.8× 442 1.2× 394 1.5× 216 0.8× 152 0.6× 48 1.3k

Countries citing papers authored by Daniel C. Rabe

Since Specialization
Citations

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

Fields of papers citing papers by Daniel C. Rabe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel C. Rabe. 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 Daniel C. Rabe. The network helps show where Daniel C. Rabe may publish in the future.

Co-authorship network of co-authors of Daniel C. Rabe

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel C. Rabe. A scholar is included among the top collaborators of Daniel C. Rabe 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 Daniel C. Rabe. Daniel C. Rabe 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.
Ahmad, Raheel, Berent Aldikacti, Diane E. Capen, et al.. (2025). Signal Amplification for Fluorescent Staining of Single Particles in Liquid Biopsies: Circulating Tumour Cells and Extracellular Vesicles. Journal of Extracellular Vesicles. 14(10). e70167–e70167.
2.
3.
Akbar, Naveed, et al.. (2023). The isolation of VCAM-1+ endothelial cell-derived extracellular vesicles using microfluidics. PubMed. 5(1). 83–94. 1 indexed citations
4.
Tessier, Shannon N., Uyen Ho, Alona Muzikansky, et al.. (2021). Isolation of intact extracellular vesicles from cryopreserved samples. PLoS ONE. 16(5). e0251290–e0251290. 13 indexed citations
5.
Rabe, Daniel C., Nykia D. Walker, Felicia Rustandy, et al.. (2021). Tumor Extracellular Vesicles Regulate Macrophage-Driven Metastasis through CCL5. Cancers. 13(14). 3459–3459. 35 indexed citations
6.
Mishra, Avanish, Taronish D. Dubash, Jon F., et al.. (2020). Ultrahigh-throughput magnetic sorting of large blood volumes for epitope-agnostic isolation of circulating tumor cells. Proceedings of the National Academy of Sciences. 117(29). 16839–16847. 123 indexed citations
7.
Lee, Ji‐Young, Ali E. Yesilkanal, Joseph Wynne, et al.. (2019). Effective breast cancer combination therapy targeting BACH1 and mitochondrial metabolism. Nature. 568(7751). 254–258. 260 indexed citations
8.
Bainer, Russell, Casey Frankenberger, Daniel C. Rabe, et al.. (2016). Gene expression in local stroma reflects breast tumor states and predicts patient outcome. Scientific Reports. 6(1). 39240–39240. 8 indexed citations
9.
Kaye, Deborah R., Peter A. Pinto, Franco Cecchi, et al.. (2016). Tumor and Plasma Met Levels in Non-Metastatic Prostate Cancer. PLoS ONE. 11(6). e0157130–e0157130. 5 indexed citations
10.
Frankenberger, Casey, Daniel C. Rabe, Russell Bainer, et al.. (2015). Metastasis Suppressors Regulate the Tumor Microenvironment by Blocking Recruitment of Prometastatic Tumor-Associated Macrophages. Cancer Research. 75(19). 4063–4073. 108 indexed citations
11.
Cecchi, Franco, Chih‐Jian Lih, Young Ho Lee, et al.. (2015). Expression array analysis of the hepatocyte growth factor invasive program. Clinical & Experimental Metastasis. 32(7). 659–676. 3 indexed citations
12.
Shah, Manish A., Zev A. Wainberg, Daniel V.T. Catenacci, et al.. (2013). Phase II Study Evaluating 2 Dosing Schedules of Oral Foretinib (GSK1363089), cMET/VEGFR2 Inhibitor, in Patients with Metastatic Gastric Cancer. PLoS ONE. 8(3). e54014–e54014. 182 indexed citations
13.
Cecchi, Franco, Daniel C. Rabe, & Donald P. Bottaro. (2012). Targeting the HGF/Met signaling pathway in cancer therapy. Expert Opinion on Therapeutic Targets. 16(6). 553–572. 175 indexed citations
14.
Cecchi, Franco, Deborah Pajalunga, C. Andrew Fowler, et al.. (2012). Targeted Disruption of Heparan Sulfate Interaction with Hepatocyte and Vascular Endothelial Growth Factors Blocks Normal and Oncogenic Signaling. Cancer Cell. 22(2). 250–262. 37 indexed citations
15.
Athauda, Gagani, Franco Cecchi, Tomoki� Ito, et al.. (2012). HGF (hepatocyte growth factor (hepapoietin A; scatter factor)). Atlas of Genetics and Cytogenetics in Oncology and Haematology. 1 indexed citations
16.
Grkovic, Tanja, Daniel C. Rabe, Roberta S. Gardella, et al.. (2011). Identification and evaluation of soft coral diterpenes as inhibitors of HIF-2α induced gene expression. Bioorganic & Medicinal Chemistry Letters. 21(7). 2113–2115. 19 indexed citations
17.
Cecchi, Franco, Daniel C. Rabe, & Donald P. Bottaro. (2011). The Hepatocyte Growth Factor Receptor: Structure, Function and Pharmacological Targeting in Cancer. Current Signal Transduction Therapy. 6(2). 146–151. 27 indexed citations
18.
Cecchi, Franco, Daniel C. Rabe, & Donald P. Bottaro. (2010). Targeting the HGF/Met signalling pathway in cancer. European Journal of Cancer. 46(7). 1260–1270. 170 indexed citations
19.
Cecchi, Franco, Robert Gagnon, Howard Kallender, et al.. (2009). Abstract B210: Shed MET (sMET), VEGFA, and sVEGFR2 are markers of foretinib treatment in metastatic gastric cancer patients. Molecular Cancer Therapeutics. 8(12_Supplement). B210–B210. 2 indexed citations
20.
Gallucci, Randle M., et al.. (2004). JP-8 jet fuel exposure induces inflammatory cytokines in rat skin. International Immunopharmacology. 4(9). 1159–1169. 17 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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