Tomohisa Inada

1.2k citations
13 papers · 970 indexed · 1 hit paper · h-index 9

Tomohisa Inada

13 papers receiving 942 citations

Hit Papers

Commitment and Differentiation of Osteoclast Precursor Ce...5751999202620082017100200300400500

Peers

Tomohisa Inada
Comparison fields: 5 of 83
  • Oncology 362
  • Cellular and Molecular Neuroscience 236
  • Orthopedics and Sports Medicine 111
  • Molecular Biology 750
  • Cancer Research 152
Replace Gabrielle Curinga with:
Gabrielle Curinga United States
D. W. Burton United States
Seiko Kyakumoto Japan
Nicholas R. Hum United States
Elisheva Smith United States
Jin Fan China
Shiqiao Ye United States
Lucas C. Armstrong United States
Álvaro Valín Spain
Frederic Lluı́s Spain
Tomohisa Inada relative to Gabrielle Curinga United States Gabrielle Curinga's profile →
Citations per field
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Gabrielle Curinga · 1×
Citations per year

Countries citing papers authored by Tomohisa Inada

Since Specialization
Citations

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

Fields of papers citing papers by Tomohisa Inada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

13 of 13 papers shown
#Work
1 201520
2 201013
3 200721
4 20076
5 20061
6 20041
7 200292
8 200259
9 200160
10
Commitment and Differentiation of Osteoclast Precursor Cells by the Sequential Expression of C-Fms and Receptor Activator of Nuclear Factor κb (Rank) Receptorsbreakdown →
1999575
11 199741
12
Characterization of a ligand for receptor protein-tyrosine kinase HTK expressed in immature hematopoietic cells.
199676
13 19955

About Tomohisa Inada

Tomohisa Inada is a scholar working on Orthopedics and Sports Medicine, Cellular and Molecular Neuroscience and Human-Computer Interaction, having authored 13 papers that have together received 970 indexed citations. Recurring topics across this work include Axon Guidance and Neuronal Signaling (4 papers), Spaceflight effects on biology (3 papers), Angiogenesis and VEGF in Cancer (3 papers), Muscle activation and electromyography studies (3 papers), Sports Performance and Training (2 papers), Advanced Sensor and Energy Harvesting Materials (1 paper), T-cell and Retrovirus Studies (1 paper) and Stroke Rehabilitation and Recovery (1 paper). The work is most often cited by research in Oncology (362 citations), Cellular and Molecular Neuroscience (236 citations) and Orthopedics and Sports Medicine (111 citations). Tomohisa Inada has collaborated with scholars based in Japan, United States and Germany. Frequent co-authors include Toshio Suda, Fumio Arai, Osamu Ohneda, Kenneth Brasel, Tetsuo Sudo, Dirk Anderson, Takeshi Miyamoto, Takashi Miyata, Xiuqin Zhang and Yuichi Oike. Their work appears in journals such as Blood, Acta Haematologica, The American Journal of Surgical Pathology, The Journal of Experimental Medicine and Biochemical and Biophysical Research Communications.

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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