Kaveh Baghaei

96 papers receiving 1.9k citations

Kaveh Baghaei's Hit Papers

Patient-derived xenograft (PDX) models, applications and challenges in cancer research 2022 · 194 citations
1940+1+2Years since publication50100150

Peers

Kaveh Baghaei
Comparison fields: 5 of 100
  • Cancer Research 431
  • Genetics 210
  • Immunology 350
  • Hepatology 100
  • Gastroenterology 68
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Elie Marcheteau France
Mikael Brisslert Sweden
William C. Kisseberth United States
Shinji Okano Japan
Masaki Inoue Japan
Xia Zhang China
Claudia D. Andl United States
Kazuhiro Usui Japan
Sabine Middendorp Netherlands
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Citations per field
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Citations per year

Countries citing papers authored by Kaveh Baghaei

Since Specialization
Citations

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

Fields of papers citing papers by Kaveh Baghaei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 97 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Patient-derived xenograft (PDX) models, applications and challenges in cancer research
Hit paper breakdown →
2022194
2 2021126
3
Isolation, differentiation, and characterization of mesenchymal stem cells from human bone marrow.
201787
4 202170
5 201965
6 202263
7 201856
8 200954
9 201754
10 202154
11
vacA genotypes of Helicobacter pylori in relation to cagA status and clinical outcomes in Iranian populations.
200852
12 200949
13 201849
14 202149
15 201740
16 202238
17 201136
18 202134
19 202132
20 202030

About Kaveh Baghaei

Kaveh Baghaei is a scholar working on Molecular Biology, Immunology, Surgery, Epidemiology and Cancer Research, having authored 97 papers that have together received 2.0k indexed citations. Recurring topics across this work include Extracellular vesicles in disease (20 papers), Helicobacter pylori-related gastroenterology studies (12 papers), Liver Disease Diagnosis and Treatment (12 papers), MicroRNA in disease regulation (12 papers), Liver physiology and pathology (9 papers), Mesenchymal stem cell research (7 papers), Galectins and Cancer Biology (6 papers) and RNA Interference and Gene Delivery (6 papers). The work is most often cited by research in Cancer Research (431 citations), Genetics (210 citations), Immunology (350 citations), Hepatology (100 citations) and Gastroenterology (68 citations). Kaveh Baghaei has collaborated with scholars based in Iran, United States and Italy. Frequent co-authors include Mohammad Reza Zali, Seyed Mahmoud Hashemi, Davar Amani, Zeinab Ghazvinian, Hamid Asadzadeh Aghdaei, Shahrokh Abdolahi, Samaneh Tokhanbigli, Saeed Namaki, Hamid Asadzadeh Aghdaei and Samad Muhammadnejad. Their work appears in journals such as International Immunopharmacology, Life Sciences, European Journal of Pharmacology, Molecular Biology Reports and Journal of Cellular Physiology.

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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