Khalid Saeed
Impact in
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- CAR-T cell therapy research
- Cancer Cells and Metastasis
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- Immune Cell Function and Interaction
Papers in
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- CRISPR and Genetic Engineering 3
- Protein Degradation and Inhibitors 2
- Ubiquitin and proteasome pathways 1
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- Immune Cell Function and Interaction 4
- Co-authors
- Tero Aittokallio (6 shared papers)Pilvi Maliniemi (1 shared paper)Olli Kallioniemi (4 shared papers)Tiina Hannunen (2 shared papers)Matti Kankainen (2 shared papers)Satu Mustjoki (5 shared papers)Peter Steinberger (1 shared paper)Aleksandr Ianevski (3 shared papers)
- Journals
- Blood (6 papers)International Journal of Cancer (2 papers)Bioinformatics (1 paper)Nutrients (1 paper)Frontiers in Cardiovascular Medicine (1 paper)
- Partner nations
- FinlandIrelandUnited States
In The Last Decade
Khalid Saeed
16 papers receiving 350 citations
Peers
Comparison fields: 5 of 62
- Oncology 170
- Immunology 67
- Biophysics 19
- Cancer Research 43
- Molecular Biology 158
Countries citing papers authored by Khalid Saeed
This map shows the geographic impact of Khalid Saeed'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 Khalid Saeed with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Khalid Saeed more than expected).
Fields of papers citing papers by Khalid Saeed
This network shows the impact of papers produced by Khalid Saeed. 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 Khalid Saeed. The network helps show where Khalid Saeed may publish in the future.
Co-authors
The 25 scholars most cited alongside Khalid Saeed, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 162 | |
| 2 | 2016 | 72 | |
| 3 | 2015 | 29 | |
| 4 | 2018 | 26 | |
| 5 | 2009 | 18 | |
| 6 | 2024 | 10 | |
| 7 | 1999 | 10 | |
| 8 | 2014 | 9 | |
| 9 | CAUSATIVE AGENTS OF URINARY TRACT INFECTION IN DIABETIC PATIENTS AND THEIR PATTERN OF ANTIBIOTIC SUSCEPTIBILITY | 2018 | 4 |
| 10 | 2025 | 4 | |
| 11 | 2019 | 3 | |
| 12 | 2025 | 2 | |
| 13 | 2025 | 1 | |
| 14 | 2022 | 1 | |
| 15 | 2013 | 1 | |
| 16 | 2021 | 1 | |
| 17 | 2026 | 0 | |
| 18 | 2022 | 0 | |
| 19 | 2023 | 0 | |
| 20 | 2025 | 0 |
About Khalid Saeed
Khalid Saeed is a scholar working on Molecular Biology, Immunology, Pulmonary and Respiratory Medicine, Oncology and Hematology, having authored 22 papers that have together received 353 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (4 papers), CAR-T cell therapy research (3 papers), CRISPR and Genetic Engineering (3 papers), Venous Thromboembolism Diagnosis and Management (2 papers), Cancer Genomics and Diagnostics (2 papers), Protein Degradation and Inhibitors (2 papers), Prostate Cancer Treatment and Research (2 papers) and Ubiquitin and proteasome pathways (1 paper). The work is most often cited by research in Oncology (170 citations), Immunology (67 citations), Biophysics (19 citations), Cancer Research (43 citations) and Molecular Biology (158 citations). Khalid Saeed has collaborated with scholars based in Finland, Ireland and United States. Frequent co-authors include Tero Aittokallio, Pilvi Maliniemi, Olli Kallioniemi, Tiina Hannunen, Matti Kankainen, Satu Mustjoki, Peter Steinberger, Aleksandr Ianevski, Helena Hohtari and Matti Korhonen. Their work appears in journals such as Blood, International Journal of Cancer, Bioinformatics, Nutrients and Frontiers in Cardiovascular Medicine.
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.