Hikmat Assi

972 citations
17 papers · 763 · h-index 12

Impact in

  • Immunology top 10%
    • Immunotherapy and Immune Responses
    • Immune cells in cancer
    • Immune Cell Function and Interaction
  • Genetics top 10%
    • Virus-based gene therapy research
    • Glioma Diagnosis and Treatment

Papers in

Hikmat Assi

17 papers receiving 751 citations

Peers

Hikmat Assi
Comparison fields: 5 of 80
  • Immunology 367
  • Genetics 136
  • Oncology 251
  • Clinical Biochemistry 41
  • Genetics 151
Replace Tim Kees with:
Tim Kees Germany
Jonathan Lerner United States
Yeshavanth Banasavadi‐Siddegowda United States
Xingjiang Yu China
Hideo Takeshima Japan
J. A. Gutierrez United States
Caijun Zha China
Dorota Moroziewicz United States
Antonela S. Asad Argentina
Álex Cordero United States
Hikmat Assi relative to Tim Kees Germany Tim Kees's profile →
Citations per field
00.5×5.2×
Tim Kees · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Hikmat Assi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Hikmat Assi Line = papers co-authored together Hikmat Assi links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1 2009288
2 201186
3 201863
4 201162
5 200753
6 201246
7
Gene therapy and virotherapy: novel therapeutic approaches for brain tumors.
201042
8 201440
9 201426
10 201213
11 201112
12 201411
13 20149
14 20216
15 20193
16 20192
17 20101

About Hikmat Assi

Hikmat Assi is a scholar working on Immunology, Molecular Biology, Oncology, Genetics and Genetics, having authored 17 papers that have together received 763 indexed citations. Recurring topics across this work include Virus-based gene therapy research (6 papers), Immunotherapy and Immune Responses (5 papers), CAR-T cell therapy research (3 papers), Glioma Diagnosis and Treatment (3 papers), Cytokine Signaling Pathways and Interactions (2 papers), Cancer Research and Treatments (2 papers), CRISPR and Genetic Engineering (2 papers) and Cancer Immunotherapy and Biomarkers (2 papers). The work is most often cited by research in Immunology (367 citations), Genetics (136 citations), Oncology (251 citations), Clinical Biochemistry (41 citations) and Genetics (151 citations). Hikmat Assi has collaborated with scholars based in United States, Argentina and Canada. Frequent co-authors include María G. Castro, Pedro R. Löwenstein, Kader Yagiz, Marianela Candolfi, Kurt M. Kroeger, A.K.M. Ghulam Muhammad, James F. Curtin, Chunyan Liu, Weidong Xiong and Antoni Ribas. Their work appears in journals such as Cancer Research, Journal of Pharmacology and Experimental Therapeutics, PLoS Medicine, Current Gene Therapy and Neurotherapeutics.

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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