Syed Abbas Ali
- Oncology top 5%
- Hematology top 2%
- Molecular Biology
- Immunology top 10%
- Computer Science Applications top 1%
- Co-authors
- Najmi Ghani HaiderRaheela AsifAgathe MerceronJames N. KochenderferDavid F. StroncekMaryalice Stetler‐StevensonIrina MarićJennifer N. Brudno
- Topics
- Multiple Myeloma Research and Treatments (10 papers)CAR-T cell therapy research (8 papers)Emotion and Mood Recognition (6 papers)
- Journals
- Journal of Clinical OncologySHILAP Revista de lepidopterologíaBlood
- Partner nations
- United StatesPakistanSweden
In The Last Decade
Syed Abbas Ali
51 papers receiving 1.6k citations
Hit Papers
Peers
Comparison fields: 5 of 110
- Oncology 826
- Hematology 471
- Molecular Biology 428
- Immunology 378
- Computer Science Applications 339
Countries citing papers authored by Syed Abbas Ali
This map shows the geographic impact of Syed Abbas Ali'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 Syed Abbas Ali with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Syed Abbas Ali more than expected).
Fields of papers citing papers by Syed Abbas Ali
This network shows the impact of papers produced by Syed Abbas Ali. 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 Syed Abbas Ali. The network helps show where Syed Abbas Ali may publish in the future.
Co-authorship network of co-authors of Syed Abbas Ali
This figure shows the co-authorship network connecting the top 25 collaborators of Syed Abbas Ali. A scholar is included among the top collaborators of Syed Abbas Ali 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 Syed Abbas Ali. Syed Abbas Ali is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 3 | |
| 4 | 0 | |
| 5 | 4 | |
| 6 | 12 | |
| 7 | 6 | |
| 8 | 13 | |
| 9 | 12 | |
| 10 | 10 | |
| 11 | PRODUCT-PAIR RECOMMENDATION FOR CUSTOMERS USING MACHINE LEARNING TECHNIQUE | 1 |
| 12 | 22 | |
| 13 | 6 | |
| 14 | 43 | |
| 15 | 56 | |
| 16 | 7 | |
| 17 | 7 | |
| 18 | 1 | |
| 19 | Margin Based Learning Framework with Geometric Margin Minimum Classification Error for Robust Speech Recognition | 1 |
| 20 | 9 |
About Syed Abbas Ali
Syed Abbas Ali is a scholar working on Hematology, Transplantation and Signal Processing, having authored 58 papers that have together received 1.7k indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (10 papers), CAR-T cell therapy research (8 papers) and Emotion and Mood Recognition (6 papers). The work is most often cited by research in Computer Science Applications (339 citations), Hematology (471 citations) and Oncology (826 citations). Syed Abbas Ali has collaborated with scholars based in United States, Pakistan and Sweden. Frequent co-authors include Najmi Ghani Haider, Raheela Asif, Agathe Merceron, James N. Kochenderfer, David F. Stroncek, Maryalice Stetler‐Stevenson, Irina Marić, Jennifer N. Brudno, Brenna Hansen and Steven A. Feldman. Their work appears in journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Blood.
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.