Aisha Masood

2.2k citations
36 papers · 470 · h-index 12

Impact in

  • Genetics top 10%
    • Chronic Lymphocytic Leukemia Research
  • Oncology top 10%
    • CAR-T cell therapy research
    • Cancer Immunotherapy and Biomarkers

Papers in

    • CAR-T cell therapy research 15
    • Protein Degradation and Inhibitors 6
    • Cell death mechanisms and regulation 4
    • Melanoma and MAPK Pathways 4

Aisha Masood

35 papers receiving 466 citations

Peers

Aisha Masood
Comparison fields: 5 of 68
  • Genetics 83
  • Oncology 200
  • Hematology 58
  • Pathology and Forensic Medicine 59
  • Infectious Diseases 62
Replace Vincenzo Maria Perriello with:
Vincenzo Maria Perriello Italy
Walid Rasheed Saudi Arabia
Sebastian Scheich Germany
L. J. Goutas United States
Ulf Schnetzke Germany
Noemí Aguilera‐Montilla Spain
Helen Gharwan United States
Toshiki Terao Japan
Xielan Zhao China
Maria Dan United States
Aisha Masood relative to Vincenzo Maria Perriello Italy Vincenzo Maria Perriello's profile →
Citations per field
00.5×
Vincenzo Maria Perriello · 1×
Citations per year

Countries citing papers authored by Aisha Masood

Since Specialization
Citations

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

Fields of papers citing papers by Aisha Masood

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200475
2 201158
3 200954
4 202048
5 201925
6 201124
7 201224
8 201321
9 201220
10 201117
11 202215
12 202214
13 202110
14 201110
15 20206
16 20146
17 20175
18 20135
19 20234
20 20214

About Aisha Masood

Aisha Masood is a scholar working on Oncology, Molecular Biology, Genetics, Pathology and Forensic Medicine and Hematology, having authored 36 papers that have together received 470 indexed citations. Recurring topics across this work include CAR-T cell therapy research (15 papers), Chronic Lymphocytic Leukemia Research (10 papers), Lymphoma Diagnosis and Treatment (9 papers), Multiple Myeloma Research and Treatments (7 papers), Protein Degradation and Inhibitors (6 papers), Cell death mechanisms and regulation (4 papers), Melanoma and MAPK Pathways (4 papers) and Acute Lymphoblastic Leukemia research (3 papers). The work is most often cited by research in Genetics (83 citations), Oncology (200 citations), Hematology (58 citations), Pathology and Forensic Medicine (59 citations) and Infectious Diseases (62 citations). Aisha Masood has collaborated with scholars based in United States, Switzerland and Germany. Frequent co-authors include Sabah Sallah, Asher Chanan‐Khan, Mehul Patel, Priya Patel, Taimur Sher, Aneel Paulus, Kasyapa S. Chitta, Kena C. Miller, Abhisek Swaika and Kelvin H. Lee. Their work appears in journals such as Blood, Journal of Clinical Oncology, British Journal of Haematology, Current Drug Delivery and Transplantation and Cellular Therapy.

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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