Javed Khan

24.5k citations
350 papers · 10.9k indexed · 1 hit paper · h-index 51

Javed Khan

318 papers receiving 10.6k citations

Hit Papers

Classification and diagnostic prediction of cancers using...1.9k200120262009201750010001.5k

Peers

Javed Khan
Comparison fields: 5 of 194
  • Cancer Research 2.0k
  • Neurology 1.7k
  • Molecular Biology 6.2k
  • Oncology 2.2k
  • Pulmonary and Respiratory Medicine 1.7k
Replace Jane Fridlyand with:
Jane Fridlyand United States
Manfred Schwab Germany
Ethan Dmitrovsky United States
Markus Ringnér Sweden
Frank Westermann Germany
Andreas Keller Germany
Helmut Denk Austria
Aik Choon Tan United States
Mignon L. Loh United States
Kurt Zatloukal Austria
Javed Khan relative to Jane Fridlyand United States Jane Fridlyand's profile →
Citations per field
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Jane Fridlyand · 1×
Citations per year

Countries citing papers authored by Javed Khan

Since Specialization
Citations

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

Fields of papers citing papers by Javed Khan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20234
2 20223
3 202211
4 20219
5 20215
6 201876
7 201745
8 201513
9 2015120
10 201570
11 201420
12 2011140
13 201143
14 200966
15 200910
16 200944
17 200895
18 200739
19 200791
20 2005151

About Javed Khan

Javed Khan is a scholar working on Neurology, Cancer Research, Computer Networks and Communications, Library and Information Sciences and Oncology, having authored 350 papers that have together received 10.9k indexed citations. Recurring topics across this work include Neuroblastoma Research and Treatments (41 papers), Sarcoma Diagnosis and Treatment (41 papers), CAR-T cell therapy research (24 papers), Peer-to-Peer Network Technologies (23 papers), Protein Degradation and Inhibitors (22 papers), Network Traffic and Congestion Control (20 papers), Gene expression and cancer classification (17 papers) and Caching and Content Delivery (15 papers). The work is most often cited by research in Cancer Research (2.0k citations), Neurology (1.7k citations), Molecular Biology (6.2k citations), Oncology (2.2k citations) and Pulmonary and Respiratory Medicine (1.7k citations). Javed Khan has collaborated with scholars based in United States, India and Pakistan. Frequent co-authors include Paul S. Meltzer, Jun S. Wei, Lao H. Saal, Frank Westermann, Manfred Schwab, Markus Ringnér, Frank Berthold, Carsten Peterson, Marc Ladanyi and Cristina R. Antonescu. Their work appears in journals such as Cancer Research, Clinical Cancer Research, Nature Communications, Journal of Clinical Oncology and Oncogene.

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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