Hikmat Assi

972 total citations
17 papers, 763 citations indexed

About

Hikmat Assi is a scholar working on Immunology, Molecular Biology and Oncology. According to data from OpenAlex, Hikmat Assi has authored 17 papers receiving a total of 763 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Immunology, 7 papers in Molecular Biology and 6 papers in Oncology. Recurrent topics in Hikmat Assi's work include Virus-based gene therapy research (6 papers), Immunotherapy and Immune Responses (5 papers) and CAR-T cell therapy research (3 papers). Hikmat Assi is often cited by papers focused on Virus-based gene therapy research (6 papers), Immunotherapy and Immune Responses (5 papers) and CAR-T cell therapy research (3 papers). Hikmat Assi collaborates with scholars based in United States, Argentina and Canada. Hikmat Assi's co-authors include María G. Castro, Pedro R. Löwenstein, Kurt M. Kroeger, Kader Yagiz, Marianela Candolfi, A.K.M. Ghulam Muhammad, James F. Curtin, Chunyan Liu, Weidong Xiong and Mary C. Clark and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Cancer Research.

In The Last Decade

Hikmat Assi

17 papers receiving 751 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hikmat Assi United States 12 367 294 251 151 136 17 763
Xingjiang Yu China 14 229 0.6× 479 1.6× 148 0.6× 63 0.4× 144 1.1× 29 801
Tim Kees Germany 8 391 1.1× 283 1.0× 305 1.2× 29 0.2× 58 0.4× 8 781
Jonathan Lerner United States 6 110 0.3× 162 0.6× 110 0.4× 129 0.9× 138 1.0× 7 441
Yeshavanth Banasavadi‐Siddegowda United States 15 118 0.3× 673 2.3× 220 0.9× 141 0.9× 124 0.9× 32 941
Baoxia Dong China 16 327 0.9× 470 1.6× 185 0.7× 131 0.9× 50 0.4× 39 951
Sietske T. Bakker United States 11 221 0.6× 822 2.8× 126 0.5× 140 0.9× 101 0.7× 13 1.2k
Hideo Takeshima Japan 13 137 0.4× 219 0.7× 166 0.7× 32 0.2× 113 0.8× 18 512
Dorota Moroziewicz United States 15 433 1.2× 269 0.9× 327 1.3× 99 0.7× 15 0.1× 27 832
J. A. Gutierrez United States 9 200 0.5× 172 0.6× 264 1.1× 21 0.1× 88 0.6× 9 559
Caijun Zha China 10 243 0.7× 290 1.0× 96 0.4× 28 0.2× 138 1.0× 11 595

Countries citing papers authored by Hikmat Assi

Since Specialization
Citations

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

Fields of papers citing papers by Hikmat Assi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hikmat Assi

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

All Works

17 of 17 papers shown
1.
Berezhnoy, Alexey, Hsin Wang, Hikmat Assi, et al.. (2021). 706 Conditional cytokine therapeutics for tumor-selective biological activity: preclinical characterization of a dual-masked IFN-a2b. SHILAP Revista de lepidopterología. A735–A735. 6 indexed citations
2.
Scolan, Erwan Le, Tiffany Tse, Michael Krimm, et al.. (2019). Abstract 3202: A probody drug conjugate targeting CD166 (ALCAM) enhances preclinical antitumor activity of a probody therapeutic targeting PD-1. Cancer Research. 79(13_Supplement). 3202–3202. 2 indexed citations
3.
Geletu, Mulu, Zaid Taha, Rozanne Arulanandam, et al.. (2019). Effect of caveolin-1 on Stat3-ptyr705 levels in breast and lung carcinoma cells. Biochemistry and Cell Biology. 97(5). 638–646. 3 indexed citations
4.
Gallotta, Marilena, et al.. (2018). Inhaled TLR9 Agonist Renders Lung Tumors Permissive to PD-1 Blockade by Promoting Optimal CD4+ and CD8+ T-cell Interplay. Cancer Research. 78(17). 4943–4956. 63 indexed citations
5.
Assi, Hikmat, Robert Doherty, Emanuele Petruzzella, et al.. (2014). Preclinical Characterization of Signal Transducer and Activator of Transcription 3 Small Molecule Inhibitors for Primary and Metastatic Brain Cancer Therapy. Journal of Pharmacology and Experimental Therapeutics. 349(3). 458–469. 26 indexed citations
6.
Koschmann, Carl, Gregory J. Baker, A.K.M. Ghulam Muhammad, et al.. (2014). Lentiviral-Induced High-Grade Gliomas in Rats: The Effects of PDGFB, HRAS-G12V, AKT, and IDH1-R132H. Neurotherapeutics. 11(3). 623–635. 9 indexed citations
7.
Assi, Hikmat, Jaclyn R. Espinosa, Michael V. Sofroniew, et al.. (2014). Assessing the Role of STAT3 in DC Differentiation and Autologous DC Immunotherapy in Mouse Models of GBM. PLoS ONE. 9(5). e96318–e96318. 11 indexed citations
8.
Castro, María G., Marianela Candolfi, Thomas J. Wilson, et al.. (2014). Adenoviral vector-mediated gene therapy for gliomas: coming of age. Expert Opinion on Biological Therapy. 14(9). 1241–1257. 40 indexed citations
9.
Assi, Hikmat, Marianela Candolfi, Gregory J. Baker, et al.. (2012). Gene therapy for brain tumors: Basic developments and clinical implementation. Neuroscience Letters. 527(2). 71–77. 46 indexed citations
10.
Assi, Hikmat, Marianela Candolfi, Pedro R. Löwenstein, & María G. Castro. (2012). Rodent Glioma Models: Intracranial Stereotactic Allografts and Xenografts. PubMed. 77. 229–243. 13 indexed citations
11.
Castro, María G., Marianela Candolfi, Kurt M. Kroeger, et al.. (2011). Gene Therapy and Targeted Toxins for Glioma. Current Gene Therapy. 11(3). 155–180. 62 indexed citations
12.
Candolfi, Marianela, Kurt M. Kroeger, Weidong Xiong, et al.. (2011). Targeted Toxins for Glioblastoma Multiforme: Pre-Clinical Studies and Clinical Implementation. Anti-Cancer Agents in Medicinal Chemistry. 11(8). 729–738. 12 indexed citations
13.
Candolfi, Marianela, James F. Curtin, Kader Yagiz, et al.. (2011). B Cells Are Critical to T-cell—Mediated Antitumor Immunity Induced by a Combined Immune-Stimulatory/Conditionally Cytotoxic Therapy for Glioblastoma. Neoplasia. 13(10). 947–IN23. 86 indexed citations
14.
Candolfi, Marianela, James F. Curtin, Kader Yagiz, et al.. (2010). Abstract 1909: B cells present tumor antigen and mediate anti-tumor immunity induced by a combined immune-stimulatory/conditional cytotoxic therapy for glioblastoma. Cancer Research. 70(8_Supplement). 1909–1909. 1 indexed citations
15.
Kroeger, Kurt M., A.K.M. Ghulam Muhammad, Gregory J. Baker, et al.. (2010). Gene therapy and virotherapy: novel therapeutic approaches for brain tumors.. PubMed. 10(53). 293–304. 42 indexed citations
16.
Curtin, James F., Naiyou Liu, Marianela Candolfi, et al.. (2009). HMGB1 Mediates Endogenous TLR2 Activation and Brain Tumor Regression. PLoS Medicine. 6(1). e1000010–e1000010. 288 indexed citations
17.
Sevrioukov, Evgueni A., et al.. (2007). Drosophila Bcl‐2 proteins participate in stress‐induced apoptosis, but are not required for normal development. genesis. 45(4). 184–193. 53 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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