Mark Fereshteh

2.2k citations
19 papers · 1.5k · 1 hit paper · h-index 9

Impact in

  • Hematology top 5%
    • Chronic Myeloid Leukemia Treatments
    • Acute Myeloid Leukemia Research
  • Genetics top 5%
    • Chronic Lymphocytic Leukemia Research
    • Estrogen and related hormone effects

Papers in

    • Cancer Immunotherapy and Biomarkers 5
    • CAR-T cell therapy research 4
    • HER2/EGFR in Cancer Research 3
    • Single-cell and spatial transcriptomics 3
    • Hedgehog Signaling Pathway Studies 2

Mark Fereshteh

17 papers receiving 1.5k citations

Mark Fereshteh's Hit Papers

Hedgehog signalling is essential for maintenance of cancer stem cells in myeloid leukaemia 2009 · 711 citations
7110+5+11Years since publication200400600

Peers

Mark Fereshteh
Comparison fields: 5 of 86
  • Hematology 256
  • Genetics 180
  • Oncology 429
  • Molecular Biology 1.0k
  • Genetics 208
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Citations per field
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Citations per year

Countries citing papers authored by Mark Fereshteh

Since Specialization
Citations

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

Fields of papers citing papers by Mark Fereshteh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

19 of 19 papers shown
#Work
1
Hedgehog signalling is essential for maintenance of cancer stem cells in myeloid leukaemia
Hit paper breakdown →
2009711
2 2010434
3 200888
4 200758
5 201249
6 200848
7 201443
8 201537
9 200121
10 20186
11 20166
12 20183
13 20212
14 20252
15 20202
16 20231
17 20221
18 20210
19 20220

About Mark Fereshteh

Mark Fereshteh is a scholar working on Oncology, Molecular Biology, Immunology, Genetics and Radiology, Nuclear Medicine and Imaging, having authored 19 papers that have together received 1.5k indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (5 papers), Immunotherapy and Immune Responses (5 papers), CAR-T cell therapy research (4 papers), Single-cell and spatial transcriptomics (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), HER2/EGFR in Cancer Research (3 papers), Estrogen and related hormone effects (3 papers) and Hedgehog Signaling Pathway Studies (2 papers). The work is most often cited by research in Hematology (256 citations), Genetics (180 citations), Oncology (429 citations), Molecular Biology (1.0k citations) and Genetics (208 citations). Mark Fereshteh has collaborated with scholars based in United States, Germany and Netherlands. Frequent co-authors include Tannishtha Reya, Philip A. Beachy, Hyog Young Kwon, Michael J. Munchhof, Catriona Jamieson, Alan Chen, Annelie Abrahamsson, Todd VanArsdale, John P. Chute and David A. Rizzieri. Their work appears in journals such as Cancer Research, SLAS DISCOVERY, ACS Central Science, Nature and Proceedings of the National Academy of Sciences.

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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