Ali Moshfegh

1.9k citations
60 papers · 1.4k · h-index 21

Impact in

  • Oncology top 5%
    • Cancer-related Molecular Pathways
    • CAR-T cell therapy research
  • Hematology top 5%
    • Acute Myeloid Leukemia Research

Papers in

    • Wnt/β-catenin signaling in development and cancer 9
    • PI3K/AKT/mTOR signaling in cancer 9
    • Immune Cell Function and Interaction 7
    • Galectins and Cancer Biology 6

Ali Moshfegh

60 papers receiving 1.4k citations

Peers

Ali Moshfegh
Comparison fields: 5 of 104
  • Oncology 524
  • Hematology 178
  • Cancer Research 226
  • Immunology 304
  • Genetics 121
Replace George Sigounas with:
George Sigounas United States
Eleonora Petrucci Italy
Erika Rimondi Italy
Atsushi Hosui Japan
Archana M. Agarwal United States
Chandra C. Ghosh United States
Hannes Neuwirt Austria
Xia Bai China
Jumei Shi China
N. Lynn Henry United States
Ali Moshfegh relative to George Sigounas United States George Sigounas's profile →
Citations per field
00.5×1.5×1.9×
George Sigounas · 1×
Citations per year

Countries citing papers authored by Ali Moshfegh

Since Specialization
Citations

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

Fields of papers citing papers by Ali Moshfegh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 60 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012325
2 2012100
3 200985
4 201483
5 200773
6 200460
7 201350
8 200749
9 201838
10 201831
11 201530
12 202029
13 201728
14 201626
15 201026
16 201524
17 201623
18 200922
19 201322
20 201321

About Ali Moshfegh

Ali Moshfegh is a scholar working on Molecular Biology, Immunology, Oncology, Hematology and Genetics, having authored 60 papers that have together received 1.4k indexed citations. Recurring topics across this work include Chronic Lymphocytic Leukemia Research (12 papers), Wnt/β-catenin signaling in development and cancer (9 papers), PI3K/AKT/mTOR signaling in cancer (9 papers), Immune Cell Function and Interaction (7 papers), Galectins and Cancer Biology (6 papers), Asthma and respiratory diseases (4 papers), Pharmacogenetics and Drug Metabolism (4 papers) and Hematopoietic Stem Cell Transplantation (4 papers). The work is most often cited by research in Oncology (524 citations), Hematology (178 citations), Cancer Research (226 citations), Immunology (304 citations) and Genetics (121 citations). Ali Moshfegh has collaborated with scholars based in Sweden, Iran and Greece. Frequent co-authors include Håkan Mellstedt, Vladimir J.N. Bykov, Klas G. Wiman, Mohammad Hojjat‐Farsangi, Joachim Lundahl, Anders Österborg, Amir Hossein Daneshmanesh, Ulf Tidefelt, Honar Cherif and Christer Paul. Their work appears in journals such as PLoS ONE, Blood, Journal of Clinical Oncology, Leukemia and Biochemical Pharmacology.

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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