Mohammad Massumi

1.6k citations
44 papers · 1.3k · h-index 20

Impact in

Papers in

    • Pluripotent Stem Cells Research 16
    • CRISPR and Genetic Engineering 6
    • RNA Interference and Gene Delivery 6
    • Pancreatic function and diabetes 12
    • Tissue Engineering and Regenerative Medicine 8

Mohammad Massumi

44 papers receiving 1.2k citations

Peers

Mohammad Massumi
Comparison fields: 5 of 85
  • Genetics 368
  • Developmental Neuroscience 87
  • Biomaterials 241
  • Surgery 531
  • Molecular Biology 591
Replace Yuqing Jin with:
Yuqing Jin China
Sébastien Sart France
Zhenyu Tang China
Pedro Lei United States
Gary S. L. Peh Singapore
Karl‐Henrik Grinnemo Sweden
Yiqian Zhu China
Juli R. Bagó United States
Ji‐Yun Ko South Korea
Marcin Jurga Poland
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Citations per field
00.5×1.6×
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Citations per year

Countries citing papers authored by Mohammad Massumi

Since Specialization
Citations

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

Fields of papers citing papers by Mohammad Massumi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007150
2 2006140
3 2006112
4 201778
5 201263
6 201162
7 201357
8 201257
9 200653
10 201337
11 200837
12 201337
13 201132
14 201332
15 201627
16 202326
17 200825
18 201223
19
Human Bone Marrow Mesenchymal Stem Cell Behaviors on\nPCL/Gelatin Nanofibrous Scaffolds Modified with A Collagen\nIV-Derived RGD-Containing Peptide
201420
20 201620

About Mohammad Massumi

Mohammad Massumi is a scholar working on Molecular Biology, Surgery, Genetics, Biomaterials and Oncology, having authored 44 papers that have together received 1.3k indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (16 papers), Pancreatic function and diabetes (12 papers), Mesenchymal stem cell research (9 papers), Tissue Engineering and Regenerative Medicine (8 papers), Electrospun Nanofibers in Biomedical Applications (8 papers), CRISPR and Genetic Engineering (6 papers), RNA Interference and Gene Delivery (6 papers) and MicroRNA in disease regulation (5 papers). The work is most often cited by research in Genetics (368 citations), Developmental Neuroscience (87 citations), Biomaterials (241 citations), Surgery (531 citations) and Molecular Biology (591 citations). Mohammad Massumi has collaborated with scholars based in Iran, Canada and United States. Frequent co-authors include Jafar Ai, Samad Nadri, Masoud Soleimani, Somayeh Ebrahimi‐Barough, S Kazemi Ashtiani, Hossein Baharvand, Homa Mohseni Kouchesfahani, Reza Izadpanah, Amir Atashi and Leila Taghiyar. Their work appears in journals such as Development Growth & Differentiation, PLoS ONE, Journal of Cellular Physiology, Antibodies and Journal of Molecular Neuroscience.

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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