S. Toma

53 papers receiving 859 citations

Peers

S. Toma
Comparison fields: 5 of 100
  • Biochemistry 76
  • Biological Psychiatry 26
  • Oncology 242
  • Periodontics 34
  • Pulmonary and Respiratory Medicine 213
Replace Toru Tanaka with:
Toru Tanaka Japan
Ya-Yu Tsai United States
Maciej Łazarczyk Poland
D. Bruch‐Gerharz Germany
Richard Wahl Germany
Nancy E. Maestri United States
Geraldine Paszkiewicz United States
Michael E. Rosenfeld United States
Masood Naseripour Iran
Silvia Bartollino Italy
S. Toma relative to Toru Tanaka Japan Toru Tanaka's profile →
Citations per field
00.5×9.5×
Toru Tanaka · 1×
Citations per year

Countries citing papers authored by S. Toma

Since Specialization
Citations

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

Fields of papers citing papers by S. Toma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 55 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007112
2 199664
3 199751
4
Retinoid receptors: pathways of proliferation inhibition and apoptosis induction in breast cancer cell lines.
200045
5
Induction of apoptosis in MCF-7 breast carcinoma cell line by RAR and RXR selective retinoids.
199843
6 200539
7 199234
8 199432
9 198828
10
Grafting in revision rhinoplasty.
201327
11 200026
12 199923
13 199222
14 199920
15 198620
16 199519
17 201718
18 199717
19 199317
20 199216

About S. Toma

S. Toma is a scholar working on Molecular Biology, Genetics, Oncology, Pulmonary and Respiratory Medicine and Surgery, having authored 55 papers that have together received 903 indexed citations. Recurring topics across this work include Retinoids in leukemia and cellular processes (16 papers), Estrogen and related hormone effects (11 papers), Sarcoma Diagnosis and Treatment (9 papers), Antioxidant Activity and Oxidative Stress (6 papers), Vascular Tumors and Angiosarcomas (5 papers), Peptidase Inhibition and Analysis (4 papers), Immunotherapy and Immune Responses (3 papers) and Reconstructive Facial Surgery Techniques (2 papers). The work is most often cited by research in Biochemistry (76 citations), Biological Psychiatry (26 citations), Oncology (242 citations), Periodontics (34 citations) and Pulmonary and Respiratory Medicine (213 citations). S. Toma has collaborated with scholars based in Italy, United Kingdom and Japan. Frequent co-authors include Raffaella Palumbo, P Raffo, Wendy B. Bollag, Akira Itô, L Isnardi, Takeshi Enomoto, Takeo Ishiyama, Koki Tokuda, Mario Bussi and Guido Nicolò. Their work appears in journals such as Annals of Oncology, International Journal of Oncology, European Journal of Cancer Prevention, The International Journal of Biological Markers and Oncology Reports.

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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