Aida Karachi

1.5k citations
24 papers · 1.0k · h-index 13

Impact in

  • Genetics top 5%
    • Glioma Diagnosis and Treatment
    • Virus-based gene therapy research
  • Immunology top 10%
    • Immunotherapy and Immune Responses
    • Immune cells in cancer
    • Immune Cell Function and Interaction

Papers in

    • Cancer Immunotherapy and Biomarkers 7
    • CAR-T cell therapy research 5
    • Immunotherapy and Immune Responses 5
    • Immune cells in cancer 4

Aida Karachi

21 papers receiving 1.0k citations

Peers

Aida Karachi
Comparison fields: 5 of 94
  • Genetics 287
  • Immunology 386
  • Oncology 474
  • Cancer Research 151
  • Neurology 41
Replace Márcia Rosângela Wink with:
Márcia Rosângela Wink Brazil
Isabelle Galy–Fauroux France
Darya Alizadeh United States
Qinglin Liu China
Zhendong Yu China
Herui Wang United States
Maïté Verreault France
Kerui Wu United States
Yu‐zhen Tan China
Aida Karachi relative to Márcia Rosângela Wink Brazil Márcia Rosângela Wink's profile →
Citations per field
00.5×
Márcia Rosângela Wink · 1×
Citations per year

Countries citing papers authored by Aida Karachi

Since Specialization
Citations

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

Fields of papers citing papers by Aida Karachi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Aida Karachi, 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 Aida Karachi Line = papers co-authored together Aida Karachi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019285
2 2018208
3 201993
4 201975
5 201869
6 201862
7 201961
8 201842
9 201930
10 202021
11 202116
12 201915
13 202113
14 201512
15 20193
16 20212
17 20191
18 20181
19 20201
20 20181

About Aida Karachi

Aida Karachi is a scholar working on Oncology, Immunology, Genetics, Molecular Biology and Biomedical Engineering, having authored 24 papers that have together received 1.0k indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (7 papers), Glioma Diagnosis and Treatment (6 papers), CAR-T cell therapy research (5 papers), Immunotherapy and Immune Responses (5 papers), Immune cells in cancer (4 papers), RNA Interference and Gene Delivery (3 papers), Mesenchymal stem cell research (2 papers) and Nanowire Synthesis and Applications (2 papers). The work is most often cited by research in Genetics (287 citations), Immunology (386 citations), Oncology (474 citations), Cancer Research (151 citations) and Neurology (41 citations). Aida Karachi has collaborated with scholars based in United States, China and Iran. Frequent co-authors include Duane A. Mitchell, Maryam Rahman, Farhad Dastmalchi, Elias Sayour, Jianping Huang, Yu Long, Loic P. Deleyrolle, Linchun Jin, Haipeng Tao and Adam Grippin. Their work appears in journals such as Neuro-Oncology, Nano Letters, Frontiers in Oncology, World Neurosurgery and Neurosurgical FOCUS.

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.

Explore authors with similar magnitude of impact