Moeez Rathore
Impact in
- Cancer Research top 10%
- Cancer, Hypoxia, and Metabolism
- MicroRNA in disease regulation
-
- Immune Cell Function and Interaction
- Immune cells in cancer
- T-cell and B-cell Immunology
Papers in
-
- Melanoma and MAPK Pathways 4
- Histone Deacetylase Inhibitors Research 4
- Protein Degradation and Inhibitors 3
- Oncology 9
- Peptidase Inhibition and Analysis 4
- Co-authors
- Martín Villalba (9 shared papers)Nerea Allende-Vega (4 shared papers)Charles‐Henri Lecellier (3 shared papers)Ewelina Krzywińska (3 shared papers)Johan Garaude (3 shared papers)Anne Saumet (2 shared papers)Jean‐François Rossi (2 shared papers)Denis Tempé (1 shared paper)
- Journals
- The International Journal of Biochemistry & Cell Biology (4 papers)OncoImmunology (1 paper)Genes & Diseases (1 paper)Journal of Experimental & Clinical Cancer Research (1 paper)Cancer Research (1 paper)
- Partner nations
- United StatesFranceSpain
In The Last Decade
Moeez Rathore
20 papers receiving 544 citations
Peers
Comparison fields: 5 of 69
- Cancer Research 189
- Immunology 180
- Oncology 119
- Molecular Biology 301
- Hematology 24
Countries citing papers authored by Moeez Rathore
This map shows the geographic impact of Moeez Rathore'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 Moeez Rathore with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Moeez Rathore more than expected).
Fields of papers citing papers by Moeez Rathore
This network shows the impact of papers produced by Moeez Rathore. 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 Moeez Rathore. The network helps show where Moeez Rathore may publish in the future.
Co-authors
The 25 scholars most cited alongside Moeez Rathore, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 106 | |
| 2 | 2012 | 86 | |
| 3 | 2019 | 68 | |
| 4 | 2010 | 54 | |
| 5 | 2015 | 49 | |
| 6 | 2014 | 38 | |
| 7 | 2012 | 30 | |
| 8 | 2014 | 24 | |
| 9 | 2020 | 22 | |
| 10 | 2014 | 17 | |
| 11 | 2018 | 12 | |
| 12 | 2014 | 11 | |
| 13 | 2022 | 10 | |
| 14 | 2024 | 6 | |
| 15 | 2022 | 3 | |
| 16 | 2022 | 3 | |
| 17 | 2019 | 2 | |
| 18 | 2020 | 2 | |
| 19 | 2024 | 1 | |
| 20 | 2020 | 1 |
About Moeez Rathore
Moeez Rathore is a scholar working on Molecular Biology, Oncology, Immunology, Cancer Research and Pathology and Forensic Medicine, having authored 20 papers that have together received 545 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (5 papers), Melanoma and MAPK Pathways (4 papers), Histone Deacetylase Inhibitors Research (4 papers), Peptidase Inhibition and Analysis (4 papers), Cancer, Hypoxia, and Metabolism (4 papers), Protein Degradation and Inhibitors (3 papers), T-cell and B-cell Immunology (3 papers) and Cancer Mechanisms and Therapy (2 papers). The work is most often cited by research in Cancer Research (189 citations), Immunology (180 citations), Oncology (119 citations), Molecular Biology (301 citations) and Hematology (24 citations). Moeez Rathore has collaborated with scholars based in United States, France and Spain. Frequent co-authors include Martín Villalba, Nerea Allende-Vega, Charles‐Henri Lecellier, Ewelina Krzywińska, Johan Garaude, Anne Saumet, Jean‐François Rossi, Denis Tempé, Julián Pardo and Robert A. Hipskind. Their work appears in journals such as The International Journal of Biochemistry & Cell Biology, OncoImmunology, Genes & Diseases, Journal of Experimental & Clinical Cancer Research and Cancer Research.
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.