Michael Hedvat

2.0k total citations
16 papers, 953 citations indexed

About

Michael Hedvat is a scholar working on Oncology, Molecular Biology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Michael Hedvat has authored 16 papers receiving a total of 953 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Oncology, 8 papers in Molecular Biology and 5 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Michael Hedvat's work include CAR-T cell therapy research (6 papers), Monoclonal and Polyclonal Antibodies Research (5 papers) and Immunotherapy and Immune Responses (4 papers). Michael Hedvat is often cited by papers focused on CAR-T cell therapy research (6 papers), Monoclonal and Polyclonal Antibodies Research (5 papers) and Immunotherapy and Immune Responses (4 papers). Michael Hedvat collaborates with scholars based in United States and South Korea. Michael Hedvat's co-authors include John C. Reed, Paul B. Fisher, Fan Yang, Maurizio Pellecchia, Rupesh Dash, Swadesh K. Das, Devanand Sarkar, John L. Stebbins, Paul Diaz and Richard Jove and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Genes & Development and SHILAP Revista de lepidopterología.

In The Last Decade

Michael Hedvat

16 papers receiving 941 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael Hedvat United States 10 465 315 193 120 118 16 953
Timothy P. Kegelman United States 14 490 1.1× 204 0.6× 291 1.5× 81 0.7× 185 1.6× 28 983
Hye Shin Lee South Korea 19 820 1.8× 248 0.8× 154 0.8× 167 1.4× 71 0.6× 28 1.2k
Susan Giblett United Kingdom 17 695 1.5× 262 0.8× 130 0.7× 166 1.4× 128 1.1× 25 1.3k
Hironao Nakayama Japan 22 543 1.2× 311 1.0× 326 1.7× 129 1.1× 56 0.5× 52 1.3k
Daniel L. Altschuler United States 22 1.0k 2.2× 294 0.9× 108 0.6× 103 0.9× 104 0.9× 35 1.6k
Hirotake Kitaura Japan 16 929 2.0× 242 0.8× 238 1.2× 108 0.9× 97 0.8× 22 1.4k
Christopher J. Strock United States 15 413 0.9× 336 1.1× 116 0.6× 48 0.4× 73 0.6× 24 848
Bingsheng Li China 16 546 1.2× 254 0.8× 232 1.2× 54 0.5× 110 0.9× 55 1.2k
Andleeb Zameer United States 15 483 1.0× 110 0.3× 165 0.9× 167 1.4× 119 1.0× 16 1.2k
María J. Artiga Spain 12 823 1.8× 259 0.8× 144 0.7× 116 1.0× 123 1.0× 15 1.4k

Countries citing papers authored by Michael Hedvat

Since Specialization
Citations

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

Fields of papers citing papers by Michael Hedvat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Hedvat

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

All Works

16 of 16 papers shown
1.
Moore, Gregory L., Juan E. Diaz, Christine Bonzon, et al.. (2024). A B7-H3–Targeted CD28 Bispecific Antibody Enhances the Activity of Anti–PD-1 and CD3 T-cell Engager Immunotherapies. Molecular Cancer Therapeutics. 24(3). 331–344. 11 indexed citations
2.
Moore, Gregory L., Juan E. Diaz, Christine Bonzon, et al.. (2021). 698 PD-L1 targeted CD28 costimulatory bispecific antibodies enhance T cell activation in solid tumors. SHILAP Revista de lepidopterología. A726–A726. 1 indexed citations
3.
Moore, Gregory L., Juan E. Diaz, Christine Bonzon, et al.. (2021). Abstract 1880: PDL1-targeted CD28 costimulatory bispecific antibodies enhance T cell activation in solid tumors. Cancer Research. 81(13_Supplement). 1880–1880. 1 indexed citations
4.
Nisthal, Alex, Matthew A. Dragovich, Erik Pong, et al.. (2020). Abstract 5663: Affinity tuned XmAb®2+1 PSMA x CD3 bispecific antibodies demonstrate selective activity in prostate cancer models. Cancer Research. 80(16_Supplement). 5663–5663. 1 indexed citations
5.
Hedvat, Michael, Juan E. Diaz, Christine Bonzon, et al.. (2020). 697 Tumor-targeted CD28 costimulatory bispecific antibodies enhance T cell activation in solid tumors. SHILAP Revista de lepidopterología. A419.1–A419. 2 indexed citations
6.
Hedvat, Michael, Christine Bonzon, Matthew J. Bernett, et al.. (2018). Abstract 2784: Simultaneous checkpoint-checkpoint or checkpoint-costimulatory receptor targeting with bispecific antibodies promotes enhanced human T cell activation. Cancer Research. 78(13_Supplement). 2784–2784. 7 indexed citations
7.
Sano, Renata, Michael Hedvat, Ricardo G. Correa, et al.. (2012). Endoplasmic reticulum protein BI-1 regulates Ca2+-mediated bioenergetics to promote autophagy. Genes & Development. 26(10). 1041–1054. 76 indexed citations
8.
Hong, Xin, Andreas Herrmann, Karen L. Reckamp, et al.. (2011). Antiangiogenic and Antimetastatic Activity of JAK Inhibitor AZD1480. Cancer Research. 71(21). 6601–6610. 93 indexed citations
9.
Dash, Rupesh, Belal Azab, Bridget A. Quinn, et al.. (2011). Apogossypol derivative BI-97C1 (Sabutoclax) targeting Mcl-1 sensitizes prostate cancer cells to mda -7/IL-24–mediated toxicity. Proceedings of the National Academy of Sciences. 108(21). 8785–8790. 101 indexed citations
10.
11.
Lee, Seok‐Geun, Timothy P. Kegelman, Zhao-zhong Su, et al.. (2010). Role of Excitatory Amino Acid Transporter‐2 (EAAT2) and glutamate in neurodegeneration: Opportunities for developing novel therapeutics. Journal of Cellular Physiology. 226(10). 2484–2493. 318 indexed citations
12.
Yang, Fan, Christine E. Brown, Ralf Buettner, et al.. (2010). Sorafenib Induces Growth Arrest and Apoptosis of Human Glioblastoma Cells through the Dephosphorylation of Signal Transducers and Activators of Transcription 3. Molecular Cancer Therapeutics. 9(4). 953–962. 97 indexed citations
13.
Yang, Fan, Veronica Jové, Xin Hong, et al.. (2010). Sunitinib Induces Apoptosis and Growth Arrest of Medulloblastoma Tumor Cells by Inhibiting STAT3 and AKT Signaling Pathways. Molecular Cancer Research. 8(1). 35–45. 94 indexed citations
14.
Liang, Wei, Andreas Herrmann, Michael Hedvat, et al.. (2008). The Src family kinase inhibitor, dasatinib, inhibits angiogenesis in vitro and in vivo. Cancer Research. 68. 270–270. 3 indexed citations
15.
Yang, Fan, Timothy Van Meter, Ralf Buettner, et al.. (2008). Sorafenib inhibits signal transducer and activator of transcription 3 signaling associated with growth arrest and apoptosis of medulloblastomas. Molecular Cancer Therapeutics. 7(11). 3519–3526. 78 indexed citations
16.
Hedvat, Michael, Anjali Jain, Dennis A. Carson, et al.. (2004). Inhibition of HER-kinase activation prevents ERK-mediated degradation of PPARγ. Cancer Cell. 5(6). 565–574. 28 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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