Ibrahim Kassis

3.0k citations
33 papers · 2.3k indexed · 1 hit paper · h-index 18

Ibrahim Kassis

31 papers receiving 2.2k citations

Hit Papers

Safety and Immunological Effects of Mesenchymal Stem Cell...7092010202620152020200400600

Peers

Ibrahim Kassis
Comparison fields: 5 of 91
  • Genetics 1.4k
  • Developmental Neuroscience 547
  • Neurology 378
  • Neurology 179
  • Cellular and Molecular Neuroscience 358
Replace Hiroto Ishikawa with:
Hiroto Ishikawa Japan
Fábio G. Teixeira Portugal
Sin‐Soo Jeun South Korea
Simona Casazza Italy
Katia Mareschi Italy
Ivana Ferrero Italy
Debora Giunti Italy
Shohei Wakao Japan
Toshihiro Soma Japan
Dale Woodbury United States
Ibrahim Kassis relative to Hiroto Ishikawa Japan Hiroto Ishikawa's profile →
Citations per field
00.5×1.5×
Hiroto Ishikawa · 1×
Citations per year

Countries citing papers authored by Ibrahim Kassis

Since Specialization
Citations

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

Fields of papers citing papers by Ibrahim Kassis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20240
3 20214
4 20197
5 201817
6 201314
7 201356
8 201337
9 201317
10 201237
11 201188
12
Pilot Phase I/II Clinical Trial with Autologous Mesenchymal Stem Cells in Patients with Multiple Sclerosis and Amyotrophic Lateral Sclerosis
20104
13
Safety and Immunological Effects of Mesenchymal Stem Cell Transplantation in Patients With Multiple Sclerosis and Amyotrophic Lateral Sclerosisbreakdown →
2010709
14 2008253
15 200841
16 200726
17 200717
18 2007146
19 2006188
20 200422

About Ibrahim Kassis

Ibrahim Kassis is a scholar working on Developmental Neuroscience, Genetics and Urology, having authored 33 papers that have together received 2.3k indexed citations. Recurring topics across this work include Mesenchymal stem cell research (21 papers), Neurogenesis and neuroplasticity mechanisms (14 papers), Multiple Sclerosis Research Studies (7 papers), Tissue Engineering and Regenerative Medicine (4 papers), Nerve injury and regeneration (4 papers), Amyotrophic Lateral Sclerosis Research (4 papers), Pluripotent Stem Cells Research (3 papers) and Neuroinflammation and Neurodegeneration Mechanisms (3 papers). The work is most often cited by research in Genetics (1.4k citations), Developmental Neuroscience (547 citations) and Neurology (378 citations). Ibrahim Kassis has collaborated with scholars based in Israel, United States and Greece. Frequent co-authors include Dimitrios Karussis, Oded Abramsky, Panayiota Petrou, Shimon Slavin, Adi Vaknin‐Dembinsky, Tamir Ben‐Hur, Jeff W. M. Bulte, Clementine Karageorgiou, John M. Gomori and Raphael Gorodetsky. Their work appears in journals such as Immunology Letters, Expert Review of Neurotherapeutics, Journal of Neuroimmunology, Journal of the Neurological Sciences and Human Gene Therapy.

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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