Kurosh Ameri

1.8k citations
25 papers · 1.5k · h-index 15

Impact in

Papers in

    • Mitochondrial Function and Pathology 3
    • Angiogenesis and VEGF in Cancer 2
    • TGF-β signaling in diseases 2
    • Cancer, Hypoxia, and Metabolism 10

Kurosh Ameri

22 papers receiving 1.5k citations

Peers

Kurosh Ameri
Comparison fields: 5 of 99
  • Cancer Research 348
  • Cell Biology 321
  • Molecular Biology 785
  • Aging 16
  • Immunology 168
Replace Silvia Masciarelli with:
Silvia Masciarelli Italy
Hagar Kalinski Israel
Seung‐Yoon Park South Korea
Alexes C. Daquinag United States
Manuel Rodríguez‐Paredes Germany
Victoriano Baladrón Spain
А. Н. Томилин Russia
Tzipora Shoshani Israel
Tadasuke Tsukiyama Japan
Kurosh Ameri relative to Silvia Masciarelli Italy Silvia Masciarelli's profile →
Citations per field
00.5×1.5×
Silvia Masciarelli · 1×
Citations per year

Countries citing papers authored by Kurosh Ameri

Since Specialization
Citations

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

Fields of papers citing papers by Kurosh Ameri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007446
2 2001152
3 2003144
4 2005136
5 2010108
6 2014102
7 201581
8 200667
9 200555
10 201333
11 201828
12 201327
13 201722
14 201518
15 200216
16 201713
17 201911
18 20215
19 20065
20 20251

About Kurosh Ameri

Kurosh Ameri is a scholar working on Molecular Biology, Cancer Research, Physiology, Biomedical Engineering and Surgery, having authored 25 papers that have together received 1.5k indexed citations. Recurring topics across this work include Cancer, Hypoxia, and Metabolism (10 papers), Adipose Tissue and Metabolism (4 papers), Mitochondrial Function and Pathology (3 papers), Mesenchymal stem cell research (2 papers), Endoplasmic Reticulum Stress and Disease (2 papers), Immune Cell Function and Interaction (2 papers), Angiogenesis and VEGF in Cancer (2 papers) and TGF-β signaling in diseases (2 papers). The work is most often cited by research in Cancer Research (348 citations), Cell Biology (321 citations), Molecular Biology (785 citations), Aging (16 citations) and Immunology (168 citations). Kurosh Ameri has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Adrian L. Harris, Martin Kristian Raida, Claire E. Lewis, Emin Maltepe, Joachim H. Clement, Russell Leek, B. F. Burke, Tsonwin Hai, Heidi Sowter and Michael Wells. Their work appears in journals such as PLoS ONE, British Journal of Cancer, Pediatric Dermatology, The International Journal of Biochemistry & Cell Biology and The Cerebellum.

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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