Khalid Shah
Impact in
- Genetics top 0.2%
- Mesenchymal stem cell research
- Virus-based gene therapy research
- Glioma Diagnosis and Treatment
- Developmental Neuroscience top 1%
Papers in
-
- RNA Interference and Gene Delivery 25
- Cell death mechanisms and regulation 17
- Pluripotent Stem Cells Research 13
- Oncology 41
- CAR-T cell therapy research 21
- Co-authors
- Ralph Weissleder (22 shared papers)Na Song (2 shared papers)Daniel W. Stuckey (5 shared papers)Hiroaki Wakimoto (20 shared papers)Randa Kasmieh (9 shared papers)Shawn Hingtgen (10 shared papers)Deepak Bhere (22 shared papers)José Luiz de Figueiredo (6 shared papers)
- Journals
- Cancer Research (11 papers)Stem Cells (6 papers)Molecular Therapy (5 papers)Cancer Biology & Therapy (5 papers)Oncogene (4 papers)
- Partner nations
- United StatesNetherlandsJapan
In The Last Decade
Khalid Shah
138 papers receiving 9.0k citations
Khalid Shah's Hit Papers
Peers
Comparison fields: 5 of 136
- Genetics 2.3k
- Developmental Neuroscience 381
- Cancer Research 1.2k
- Oncology 2.1k
- Molecular Biology 4.7k
Countries citing papers authored by Khalid Shah
This map shows the geographic impact of Khalid Shah'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 Shah with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Khalid Shah more than expected).
Fields of papers citing papers by Khalid Shah
This network shows the impact of papers produced by Khalid Shah. 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 Shah. The network helps show where Khalid Shah may publish in the future.
Co-authors
The 25 scholars most cited alongside Khalid Shah, 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 143 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Mesenchymal Stem Cell Immunomodulation: Mechanisms and Therapeutic Potential Hit paper breakdown → | 2020 | 686 |
| 2 | Shattering barriers toward clinically meaningful MSC therapies Hit paper breakdown → | 2020 | 481 |
| 3 | 2009 | 376 | |
| 4 | 2007 | 365 | |
| 5 | 2009 | 292 | |
| 6 | 2011 | 281 | |
| 7 | 2013 | 243 | |
| 8 | 2020 | 221 | |
| 9 | Microbiota and the gut-brain-axis: Implications for new therapeutic design in the CNS Hit paper breakdown → | 2022 | 217 |
| 10 | 2014 | 209 | |
| 11 | 2011 | 196 | |
| 12 | 2014 | 185 | |
| 13 | 2002 | 170 | |
| 14 | 2003 | 170 | |
| 15 | 2004 | 161 | |
| 16 | 2004 | 152 | |
| 17 | 2004 | 151 | |
| 18 | 2009 | 130 | |
| 19 | 2005 | 129 | |
| 20 | 2003 | 113 |
About Khalid Shah
Khalid Shah is a scholar working on Molecular Biology, Oncology, Genetics, Genetics and Immunology, having authored 143 papers that have together received 9.2k indexed citations. Recurring topics across this work include Virus-based gene therapy research (32 papers), RNA Interference and Gene Delivery (25 papers), CAR-T cell therapy research (21 papers), Glioma Diagnosis and Treatment (20 papers), Cell death mechanisms and regulation (17 papers), Cancer Research and Treatments (16 papers), Pluripotent Stem Cells Research (13 papers) and Immunotherapy and Immune Responses (11 papers). The work is most often cited by research in Genetics (2.3k citations), Developmental Neuroscience (381 citations), Cancer Research (1.2k citations), Oncology (2.1k citations) and Molecular Biology (4.7k citations). Khalid Shah has collaborated with scholars based in United States, Netherlands and Japan. Frequent co-authors include Ralph Weissleder, Na Song, Daniel W. Stuckey, Hiroaki Wakimoto, Randa Kasmieh, Shawn Hingtgen, Deepak Bhere, José Luiz de Figueiredo, Maarten F. Corsten and Xandra O. Breakefield. Their work appears in journals such as Cancer Research, Stem Cells, Molecular Therapy, Cancer Biology & Therapy 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.