Iris Kulbatski

23 papers receiving 952 citations

Peers

Iris Kulbatski
Comparison fields: 5 of 82
  • Developmental Neuroscience 411
  • Genetics 316
  • Cellular and Molecular Neuroscience 485
  • Pathology and Forensic Medicine 327
  • Rehabilitation 75
Replace Masayoshi Ohta with:
Masayoshi Ohta Japan
Yihua An China
Christos Profyris Australia
Dingyang Liu China
Sabine Conrad Germany
Cristina Mantovani United Kingdom
Koichi Tomita Japan
Kazuya Kataoka Japan
Hongmei Duan China
Jung-Yu C. Hsu United States
Iris Kulbatski relative to Masayoshi Ohta Japan Masayoshi Ohta's profile →
Citations per field
00.5×1.6×
Masayoshi Ohta · 1×
Citations per year

Countries citing papers authored by Iris Kulbatski

Since Specialization
Citations

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

Fields of papers citing papers by Iris Kulbatski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008157
2 2007137
3 200893
4 201569
5 200567
6 200661
7 200660
8 200860
9 200857
10 200541
11 200433
12 201427
13 200920
14 200819
15 201416
16 201015
17 201612
18 201010
19 20015
20 20154

About Iris Kulbatski

Iris Kulbatski is a scholar working on Developmental Neuroscience, Cellular and Molecular Neuroscience, Genetics, Pathology and Forensic Medicine and Biomedical Engineering, having authored 23 papers that have together received 968 indexed citations. Recurring topics across this work include Neurogenesis and neuroplasticity mechanisms (13 papers), Mesenchymal stem cell research (9 papers), Nerve injury and regeneration (8 papers), Spinal Cord Injury Research (7 papers), Nanoplatforms for cancer theranostics (3 papers), Photoacoustic and Ultrasonic Imaging (3 papers), Photodynamic Therapy Research Studies (3 papers) and Ion channel regulation and function (2 papers). The work is most often cited by research in Developmental Neuroscience (411 citations), Genetics (316 citations), Cellular and Molecular Neuroscience (485 citations), Pathology and Forensic Medicine (327 citations) and Rehabilitation (75 citations). Iris Kulbatski has collaborated with scholars based in Canada, United States and Japan. Frequent co-authors include Charles H. Tator, Ann M. Parr, Armand Keating, Andrea J. Mothe, Tasneem Zahir, Hiroshi Nomura, Howard Kim, Eiji Kobayashi, Cindi M. Morshead and Molly S. Shoichet. Their work appears in journals such as Journal of Neurotrauma, Journal of Histochemistry & Cytochemistry, Progress in Histochemistry and Cytochemistry, Frontiers in bioscience and Biomedical Materials.

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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