Shahbaz Khan

1.3k total citations
30 papers, 389 citations indexed

About

Shahbaz Khan is a scholar working on Molecular Biology, Spectroscopy and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Shahbaz Khan has authored 30 papers receiving a total of 389 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 6 papers in Spectroscopy and 5 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Shahbaz Khan's work include Advanced Proteomics Techniques and Applications (5 papers), Mass Spectrometry Techniques and Applications (4 papers) and Complexity and Algorithms in Graphs (4 papers). Shahbaz Khan is often cited by papers focused on Advanced Proteomics Techniques and Applications (5 papers), Mass Spectrometry Techniques and Applications (4 papers) and Complexity and Algorithms in Graphs (4 papers). Shahbaz Khan collaborates with scholars based in Canada, United States and India. Shahbaz Khan's co-authors include Thomas Kislinger, Andrew Macklin, Gemma Eminowicz, Arthur J. Sober, Daniel B. Shin, Lily Clark, Andrea B. Troxel, Michael E. Ming, Mary McCormack and Surender Baswana and has published in prestigious journals such as Nature Communications, Journal of Clinical Oncology and Molecular Cell.

In The Last Decade

Shahbaz Khan

24 papers receiving 379 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Shahbaz Khan Canada	7	169	120	82	70	65	30	389
Joshua Li Hong Kong	16	224 1.3×	32 0.3×	281 3.4×	176 2.5×	163 2.5×	97	765
Michał Marczyk Poland	17	425 2.5×	63 0.5×	167 2.0×	272 3.9×	155 2.4×	69	786
Eirini Arvaniti Switzerland	6	148 0.9×	29 0.2×	73 0.9×	44 0.6×	83 1.3×	9	558
Graham L. Barlow United States	7	493 2.9×	36 0.3×	266 3.2×	115 1.6×	55 0.8×	15	860
Anum Syed United States	13	198 1.2×	189 1.6×	111 1.4×	87 1.2×	68 1.0×	19	737
Marta Lomnytska Sweden	14	352 2.1×	36 0.3×	120 1.5×	126 1.8×	69 1.1×	21	579
Yeon-Joo Kim South Korea	13	123 0.7×	9 0.1×	82 1.0×	142 2.0×	88 1.4×	33	491
Kelly B. Engel United States	9	395 2.3×	27 0.2×	245 3.0×	304 4.3×	137 2.1×	13	780
Matthew Winans United States	7	276 1.6×	36 0.3×	245 3.0×	89 1.3×	48 0.7×	7	633
Christiane Zgorzelski Germany	12	92 0.5×	67 0.6×	140 1.7×	31 0.4×	70 1.1×	18	321

Countries citing papers authored by Shahbaz Khan

Since Specialization

Citations

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

Fields of papers citing papers by Shahbaz Khan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shahbaz Khan

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

All Works

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20 of 20 papers shown

Khan, Shahbaz, Wayne Ngo, Jamie L. Y. Wu, et al.. (2025). Phenotypic screens for SIRPA expression reveal RAB21 as a general regulator of macrophage surface identity. Cell Reports. 44(7). 115921–115921.

Khan, Shahbaz, et al.. (2025). Muscle Matters: Transforming Amyotrophic Lateral Sclerosis Diagnostics with Next-Gen Biosensors and Smart Detection. ACS Chemical Neuroscience. 16(4). 563–587.

Ha, Annie, Amanda Khoo, Vladimir Ignatchenko, et al.. (2024). Comprehensive Prostate Fluid-Based Spectral Libraries for Enhanced Protein Detection in Urine. Journal of Proteome Research. 23(5). 1768–1778. 3 indexed citations

Khan, Shahbaz, Jeffrey Zuccato, Vladimir Ignatchenko, et al.. (2024). Organelle resolved proteomics uncovers PLA2R1 as a novel cell surface marker required for chordoma growth. Acta Neuropathologica Communications. 12(1). 39–39. 2 indexed citations

Dvorkin‐Gheva, Anna, Stephen W. Chung, Shahbaz Khan, et al.. (2024). Cysteamine dioxygenase (ADO) governs cancer cell mitochondrial redox homeostasis through proline metabolism. Science Advances. 10(40). eadq0355–eadq0355. 3 indexed citations

Cáceres, Manuel, et al.. (2024). Width Helps and Hinders Splitting Flows. ACM Transactions on Algorithms. 20(2). 1–20.

Waas, Matthew, Christina Karamboulas, Shahbaz Khan, et al.. (2024). Molecular correlates for HPV-negative head and neck cancer engraftment prognosticate patient outcomes. Nature Communications. 15(1). 10869–10869. 3 indexed citations

Khan, Shahbaz, et al.. (2024). Targeted Mass Spectrometry of Longitudinal Patient Sera Reveals LTBP1 as a Potential Surveillance Biomarker for High-Grade Serous Ovarian Carcinoma. Journal of Proteome Research. 23(2). 749–759. 4 indexed citations

Khan, Asad, et al.. (2024). A Wideband Reflective Metasurface Generating Broadband OAM Vortex Beams. 1–3.

10.

Waas, Matthew, Amanda Khoo, Pirashaanthy Tharmapalan, et al.. (2024). Droplet-based proteomics reveals CD36 as a marker for progenitors in mammary basal epithelium. Cell Reports Methods. 4(4). 100741–100741. 1 indexed citations

11.

Khan, Asad I., et al.. (2024). Design and Analysis of a 1-Bit Reflective Metasurface for Reconfigurable Intelligent Surface Applications in the Ka-Band. 1–5. 1 indexed citations

12.

Zhang, Ji, Anna Dvorkin‐Gheva, Stephen W. Chung, et al.. (2023). Abstract 4783: ADO is essential for redox homeostasis in liver cancer. Cancer Research. 83(7_Supplement). 4783–4783.

13.

Khan, Shahbaz, et al.. (2023). Matchtigs: minimum plain text representation of k-mer sets. Genome biology. 24(1). 136–136. 5 indexed citations

14.

Khan, Shahbaz, Vladimir Ignatchenko, Harald Hübner, et al.. (2022). Phosphoproteomic Analysis of Dopamine D2 Receptor Signaling Reveals Interplay of G Protein- and β-Arrestin-Mediated Effects. Journal of Proteome Research. 22(1). 259–271. 2 indexed citations

15.

Khan, Shahbaz, et al.. (2022). Improving RNA Assembly via Safety and Completeness in Flow Decompositions. Journal of Computational Biology. 29(12). 1270–1287. 4 indexed citations

16.

Mikolajewicz, Nicholas, Shahbaz Khan, Sheila Mansouri, et al.. (2022). Leveraging the CSF proteome toward minimally-invasive diagnostics surveillance of brain malignancies. Neuro-Oncology Advances. 4(1). vdac161–vdac161. 10 indexed citations

17.

Zuccato, Jeffrey, Vikas Patil, Sheila Mansouri, et al.. (2021). DNA methylation-based prognostic subtypes of chordoma tumors in tissue and plasma. Neuro-Oncology. 24(3). 442–454. 29 indexed citations

18.

Macklin, Andrew, Shahbaz Khan, & Thomas Kislinger. (2020). Recent advances in mass spectrometry based clinical proteomics: applications to cancer research. Clinical Proteomics. 17(1). 17–17. 206 indexed citations

19.

Clark, Lily, Daniel B. Shin, Andrea B. Troxel, et al.. (2007). Association between the anatomic distribution of melanoma and sex. Journal of the American Academy of Dermatology. 56(5). 768–773. 44 indexed citations

20.

Khan, Shahbaz, et al.. (2005). Speech recognition using neural networks. 2. 432–437. 4 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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