Moeez Rathore

730 citations
20 papers · 534 · h-index 12

Impact in

    • Cancer, Hypoxia, and Metabolism
    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
    • 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
    • Peptidase Inhibition and Analysis 4

Moeez Rathore

20 papers receiving 533 citations

Peers

Moeez Rathore
Comparison fields: 5 of 71
  • Cancer Research 209
  • Immunology 188
  • Oncology 131
  • Molecular Biology 326
  • Hematology 26
Replace Danyu Du with:
Danyu Du China
Leticia Serrano‐Oviedo Spain
Tzu‐Yang Weng Taiwan
Nathiya Muthalagu United Kingdom
Tasneem Motiwala United States
Haider H. Dar United States
Tianjiao Sun United States
Leslie Douglas United States
Suihai Wang China
Suk-Ran Yoon South Korea
Moeez Rathore relative to Danyu Du China Danyu Du's profile →
Citations per field
00.5×
Danyu Du · 1×
Citations per year

Countries citing papers authored by Moeez Rathore

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Moeez Rathore Line = papers co-authored together Moeez Rathore links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 2012105
2 201285
3 201964
4 201054
5 201549
6 201438
7 201230
8 201424
9 202020
10 201417
11 201811
12 201411
13 202210
14 20244
15 20223
16 20223
17 20192
18 20202
19 20241
20 20201

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 534 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), Protein Degradation and Inhibitors (3 papers), T-cell and B-cell Immunology (3 papers), Cancer, Hypoxia, and Metabolism (3 papers) and MicroRNA in disease regulation (2 papers). The work is most often cited by research in Cancer Research (209 citations), Immunology (188 citations), Oncology (131 citations), Molecular Biology (326 citations) and Hematology (26 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, Johan Garaude, Ewelina Krzywińska, Anne Saumet, Jean‐François Rossi, Denis Tempé, Julián Pardo and Nacho Aguiló. Their work appears in journals such as The International Journal of Biochemistry & Cell Biology, Frontiers in Immunology, Theranostics, Journal of Clinical Investigation and Journal of Experimental & Clinical 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.

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