Aijazuddin Syed

10.4k total citations · 1 hit paper
15 papers, 704 citations indexed

About

Aijazuddin Syed is a scholar working on Cancer Research, Molecular Biology and Oncology. According to data from OpenAlex, Aijazuddin Syed has authored 15 papers receiving a total of 704 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Cancer Research, 7 papers in Molecular Biology and 3 papers in Oncology. Recurrent topics in Aijazuddin Syed's work include Cancer Genomics and Diagnostics (11 papers), Acute Myeloid Leukemia Research (3 papers) and Biomedical Text Mining and Ontologies (3 papers). Aijazuddin Syed is often cited by papers focused on Cancer Genomics and Diagnostics (11 papers), Acute Myeloid Leukemia Research (3 papers) and Biomedical Text Mining and Ontologies (3 papers). Aijazuddin Syed collaborates with scholars based in United States, Canada and Sweden. Aijazuddin Syed's co-authors include Ahmet Zehir, Michael F. Berger, Marc Ladanyi, Mark E. Robson, David M. Hyman, Philip Jonsson, David B. Solit, Ross L. Levine, Maria E. Arcila and Ashwin Kishtagari and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Cancer Cell.

In The Last Decade

Aijazuddin Syed

13 papers receiving 701 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Therapy-Related Clonal Hematopoiesis in Patients with Non-hematologic Cancers Is Common and Associated with Adverse Clinical Outcomes

2017 521 citations Catherine C. Coombs, Ahmet Zehir et al. Cell stem cell profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Aijazuddin Syed United States	6	366	286	229	217	132	15	704
Ashwin Kishtagari United States	11	564 1.5×	221 0.8×	323 1.4×	305 1.4×	121 0.9×	56	857
Arnaud Lagarde France	14	333 0.9×	164 0.6×	224 1.0×	506 2.3×	243 1.8×	27	927
Zineb Hamilou Canada	6	408 1.1×	134 0.5×	238 1.0×	265 1.2×	72 0.5×	18	652
Kenichi Chiba Japan	15	312 0.9×	273 1.0×	147 0.6×	629 2.9×	167 1.3×	49	1.1k
Giovanna Mansueto Italy	13	286 0.8×	254 0.9×	184 0.8×	410 1.9×	193 1.5×	24	808
August J. Salvado United States	13	350 1.0×	169 0.6×	523 2.3×	291 1.3×	153 1.2×	37	885
Bashar Dabbas United States	9	221 0.6×	95 0.3×	124 0.5×	211 1.0×	92 0.7×	22	559
Carrie Brownstein United States	12	174 0.5×	159 0.6×	169 0.7×	346 1.6×	269 2.0×	32	699
Annette Fasan Germany	14	676 1.8×	258 0.9×	299 1.3×	646 3.0×	122 0.9×	34	1.2k
Sam Agresta United States	15	442 1.2×	315 1.1×	285 1.2×	474 2.2×	121 0.9×	27	912

Countries citing papers authored by Aijazuddin Syed

Since Specialization

Citations

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

Fields of papers citing papers by Aijazuddin Syed

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Aijazuddin Syed

This figure shows the co-authorship network connecting the top 25 collaborators of Aijazuddin Syed. A scholar is included among the top collaborators of Aijazuddin Syed 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 Aijazuddin Syed. Aijazuddin Syed is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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15 of 15 papers shown

Schmidt, Ryan J., Larissa V. Furtado, Matthew S. Lebo, et al.. (2025). Clinical Bioinformatician Body of Knowledge—Clinical Laboratory Regulation and Data Security Core. Journal of Molecular Diagnostics. 27(7). 583–601. 2 indexed citations

Suehnholz, Sarah P., Ritika Kundra, Hongxin Zhang, et al.. (2024). Tracking the FDA precision oncology drug approval landscape in OncoKB.. Journal of Clinical Oncology. 42(16_suppl). e13507–e13507. 1 indexed citations

Lu, Chuanyong, Khédoudja Nafa, Wen Chen, et al.. (2024). DNA Mutational and Copy Number Variation Profiling of Primary Craniofacial Osteosarcomas by Next-Generation Sequencing. Head and Neck Pathology. 18(1). 48–48. 1 indexed citations

Suman, Shalabh, Gurnit Atwal, Jie‐Fu Chen, et al.. (2024). Deep-Learning Model for Tumor-Type Prediction Using Targeted Clinical Genomic Sequencing Data. Cancer Discovery. 14(6). 1064–1081. 9 indexed citations

Ceyhan‐Birsoy, Ozge, et al.. (2024). O12: Clonal hematopoiesis-related variants confounding hereditary cancer testing: Results from matched tumor-normal sequencing of 26,329 cancer patients. SHILAP Revista de lepidopterología. 2. 100942–100942.

Suman, Shalabh, Gurnit Atwal, Jie‐Fu Chen, et al.. (2023). Abstract 5440: Deep-learning model for tumor type classification enables enhanced clinical decision support in cancer diagnosis. Cancer Research. 83(7_Supplement). 5440–5440.

Bielski, Craig M., Mark T.A. Donoghue, Mayur Gadiya, et al.. (2018). Widespread Selection for Oncogenic Mutant Allele Imbalance in Cancer. Cancer Cell. 34(5). 852–862.e4. 59 indexed citations

Coombs, Catherine C., Ahmet Zehir, Sean M. Devlin, et al.. (2017). Therapy-Related Clonal Hematopoiesis in Patients with Non-hematologic Cancers Is Common and Associated with Adverse Clinical Outcomes. Cell stem cell. 21(3). 374–382.e4. 521 indexed citations breakdown →

Cheng, Donavan T., Meera Prasad, Yvonne Chekaluk, et al.. (2017). Comprehensive detection of germline variants by MSK-IMPACT, a clinical diagnostic platform for solid tumor molecular oncology and concurrent cancer predisposition testing. BMC Medical Genomics. 10(1). 33–33. 75 indexed citations

10.

Yaeger, Rona, Walid K. Chatila, Marla Lipsyc, et al.. (2017). Variability in genomic alterations between right- and left-sided microsatellite stable (MSS) metastatic colorectal cancer and impact on survival.. Journal of Clinical Oncology. 35(15_suppl). 3534–3534. 1 indexed citations

11.

Sirintrapun, S. Joseph, Ahmet Zehir, Aijazuddin Syed, et al.. (2016). Translational Bioinformatics and Clinical Research (Biomedical) Informatics. Clinics in Laboratory Medicine. 36(1). 153–181. 5 indexed citations

12.

Sirintrapun, S. Joseph, Ahmet Zehir, Aijazuddin Syed, et al.. (2015). Translational Bioinformatics and Clinical Research (Biomedical) Informatics. Surgical pathology clinics. 8(2). 269–288. 5 indexed citations

13.

Cheng, Donavan T., Janice Cheng, Talia Mitchell, et al.. (2014). Detection of Mutations in Myeloid Malignancies through Paired-Sample Analysis of Microdroplet-PCR Deep Sequencing Data. Journal of Molecular Diagnostics. 16(5). 504–518. 17 indexed citations

14.

Esteban, David J., Aijazuddin Syed, & Chris Upton. (2007). Organizing and Updating Whole Genome BLAST Searches with ReHAB. Methods in molecular biology. 395. 187–194. 1 indexed citations

15.

Syed, Aijazuddin & Chris Upton. (2006). Java GUI for InterProScan (JIPS): A tool to help process multiple InterProScans and perform ortholog analysis. BMC Bioinformatics. 7(1). 462–462. 7 indexed citations

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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