Vahe Bedian

1.9k total citations
44 papers, 1.2k citations indexed

About

Vahe Bedian is a scholar working on Molecular Biology, Immunology and Oncology. According to data from OpenAlex, Vahe Bedian has authored 44 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 13 papers in Immunology and 12 papers in Oncology. Recurrent topics in Vahe Bedian's work include Monoclonal and Polyclonal Antibodies Research (12 papers), Neurobiology and Insect Physiology Research (7 papers) and Immunotherapy and Immune Responses (7 papers). Vahe Bedian is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (12 papers), Neurobiology and Insect Physiology Research (7 papers) and Immunotherapy and Immune Responses (7 papers). Vahe Bedian collaborates with scholars based in United States, United Kingdom and Brazil. Vahe Bedian's co-authors include Ivette F. Emery, Gregory M. Guild, HH Jr Kazazian, Rudraditya Sarkar, Benjamin I. Leach, Thierry Naas, Naomi S. Morrissette, Jane Kendrew, F. Michael Hoffmann and Ronald P. Gladue and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Oncology and Blood.

In The Last Decade

Vahe Bedian

43 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Vahe Bedian United States 16 539 294 265 258 165 44 1.2k
Vann P. Parker United States 17 1.0k 1.9× 180 0.6× 225 0.8× 191 0.7× 288 1.7× 18 1.4k
Chiao-Chain Huang United States 10 1.3k 2.4× 200 0.7× 100 0.4× 141 0.5× 328 2.0× 15 1.7k
Daniel Isnardon France 21 786 1.5× 580 2.0× 68 0.3× 363 1.4× 128 0.8× 30 1.6k
Char‐Chang Lai United States 12 566 1.1× 170 0.6× 87 0.3× 122 0.5× 89 0.5× 14 823
Metello Innocenti Italy 21 1.4k 2.5× 221 0.8× 158 0.6× 228 0.9× 121 0.7× 35 2.4k
Deepa Waghray United States 11 1.1k 2.1× 262 0.9× 271 1.0× 311 1.2× 177 1.1× 16 1.5k
Mark Leonard United States 18 1.4k 2.7× 295 1.0× 77 0.3× 123 0.5× 398 2.4× 27 1.8k
Geri Kreitzer United States 20 1.6k 3.0× 222 0.8× 165 0.6× 129 0.5× 321 1.9× 36 2.4k
Marianne Martin France 22 1.3k 2.4× 328 1.1× 315 1.2× 154 0.6× 107 0.6× 42 2.1k
Kelly M. Loyet United States 19 656 1.2× 536 1.8× 80 0.3× 166 0.6× 67 0.4× 33 1.4k

Countries citing papers authored by Vahe Bedian

Since Specialization
Citations

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

Fields of papers citing papers by Vahe Bedian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vahe Bedian

This figure shows the co-authorship network connecting the top 25 collaborators of Vahe Bedian. A scholar is included among the top collaborators of Vahe Bedian 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 Vahe Bedian. Vahe Bedian 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
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Laing, Naomi, Shenghua Wen, David C.H. Yang, et al.. (2013). Inhibition of Platelet-Derived Growth Factor Receptor α by MEDI-575 Reduces Tumor Growth and Stromal Fibroblast Content in a Model of Non-Small Cell Lung Cancer. Molecular Pharmacology. 83(6). 1247–1256. 14 indexed citations
4.
Buchanan, Andrew, Rob Woods, Nicholas Harn, et al.. (2013). Engineering a therapeutic IgG molecule to address cysteinylation, aggregation and enhance thermal stability and expression. mAbs. 5(2). 255–262. 56 indexed citations
5.
Jenkins, David W., Sarah J. Ross, Margaret H. Veldman-Jones, et al.. (2012). MEDI0639: A Novel Therapeutic Antibody Targeting Dll4 Modulates Endothelial Cell Function and Angiogenesis In Vivo. Molecular Cancer Therapeutics. 11(8). 1650–1660. 47 indexed citations
6.
Eberlein, Catherine A., Jane Kendrew, Karen McDaid, et al.. (2012). A human monoclonal antibody 264RAD targeting αvβ6 integrin reduces tumour growth and metastasis, and modulates key biomarkers in vivo. Oncogene. 32(37). 4406–4416. 74 indexed citations
7.
Gladue, Ronald P., Timothy Paradis, Carol Donovan, et al.. (2011). The CD40 agonist antibody CP-870,893 enhances dendritic cell and B-cell activity and promotes anti-tumor efficacy in SCID-hu mice. Cancer Immunology Immunotherapy. 60(7). 1009–1017. 55 indexed citations
8.
Brown, Jeffrey L., Zhe Cao, Maria Pinzon-Ortiz, et al.. (2010). A Human Monoclonal Anti-ANG2 Antibody Leads to Broad Antitumor Activity in Combination with VEGF Inhibitors and Chemotherapy Agents in Preclinical Models. Molecular Cancer Therapeutics. 9(1). 145–156. 113 indexed citations
9.
Hunter, Terri, Marwan Alsarraj, Ronald P. Gladue, Vahe Bedian, & Scott Antonia. (2007). An Agonist Antibody Specific for CD40 Induces Dendritic Cell Maturation and Promotes Autologous Anti‐tumour T‐cell Responses in an In vitro Mixed Autologous Tumour Cell/Lymph Node Cell Model. Scandinavian Journal of Immunology. 65(5). 479–486. 34 indexed citations
10.
Hanson, Douglas C., Paul C. Canniff, Michael J. Primiano, et al.. (2004). Preclinical in vitro characterization of anti-CTLA4 therapeutic antibody CP-675,206.. Cancer Research. 64. 877–877. 30 indexed citations
11.
Moxness, Michael, Mark Stene, Deborah Finco‐Kent, et al.. (2003). Development and Validation of Radioligand Binding Assays to Measure Total, IgA, IgE, IgG, and IgM Insulin Antibodies in Human Serum. Annals of the New York Academy of Sciences. 1005(1). 265–268. 12 indexed citations
12.
Bedian, Vahe. (2003). Monoclonal Antibodies in the Analysis of Embryonic Development. Humana Press eBooks. 137. 159–166. 1 indexed citations
13.
Wise, Sarah K., et al.. (2002). Neuroanatomical studies of period gene expression in the hawkmoth, Manduca sexta. The Journal of Comparative Neurology. 447(4). 366–380. 91 indexed citations
14.
Bedian, Vahe. (2001). Self-description and the origin of the genetic code. Biosystems. 60(1-3). 39–47. 18 indexed citations
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Morrissette, Naomi S., Vahe Bedian, Paul Webster, & David S. Roos. (1994). Characterization of Extreme Apical Antigens from Toxoplasma gondii. Experimental Parasitology. 79(3). 445–459. 35 indexed citations
17.
Bedian, Vahe, et al.. (1991). Kinase activity and genetic characterization of a growth related antigen of Drosophila. Developmental Genetics. 12(3). 188–195. 1 indexed citations
18.
Bedian, Vahe, et al.. (1991). Monoclonal antibodies recognize localized antigens in the eye and central nervous system of the marine snail Bulla gouldiana.. Journal of Histochemistry & Cytochemistry. 39(3). 311–319. 2 indexed citations
19.
Bedian, Vahe, Michael C. Summers, & Stuart Kauffman. (1988). Changes in protein synthetic activity in early Drosophila embryos mutat for the segmentation gene Krüppel. Developmental Genetics. 9(6). 699–713. 3 indexed citations
20.
Bedian, Vahe, et al.. (1987). Expression of the differentiation antigen F7D6 in tumorous tissues of Drosophila. Developmental Genetics. 8(3). 165–177. 3 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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