Chieki Wada

1.1k citations
33 papers · 922 indexed · h-index 17

Chieki Wada

32 papers receiving 897 citations

Peers

Chieki Wada
Comparison fields: 5 of 78
  • Cancer Research 208
  • Pathology and Forensic Medicine 232
  • Oncology 319
  • Immunology and Allergy 69
  • Rheumatology 138
Replace J. Bullerdiek with:
J. Bullerdiek Germany
Yoshiya Shimao Japan
Manuel J. Del Rey Spain
Françoise Cormier France
Nuno R. dos Santos Portugal
Vanessa J. Craig United States
Rui-Yun Wu United States
MA Shipp United States
Seong Hoe Park South Korea
Chieki Wada relative to J. Bullerdiek Germany J. Bullerdiek's profile →
Citations per field
00.5×1.6×
J. Bullerdiek · 1×
Citations per year

Countries citing papers authored by Chieki Wada

Since Specialization
Citations

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

Fields of papers citing papers by Chieki Wada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 200631
2 19984
3 199626
4
[Nucleotide sequences at intron 6 and exon 7 junction of fibroblast growth factor receptor 2 and rapid mutational analysis in Apert syndrome].
19965
5 199516
6 199529
7 19955
8 19951
9 19947
10 199332
11 19924
12
A general transcription initiation factor, human transcription factor IID, overexpressed in human lung and breast carcinoma and rapidly induced with serum stimulation.
199228
13 199125
14 19917
15 19904
16 198928
17 19881
18 198820
19
α-Calcitonin Gene-Related Peptide (α-CGRP) and Alternative RNA Processing Events in Calcitonin/α-CGRP Gene Expression of Human and Rat Lung
19874
20 198625

About Chieki Wada

Chieki Wada is a scholar working on Pathology and Forensic Medicine, Genetics, Immunology and Allergy, Cancer Research and Oncology, having authored 33 papers that have together received 922 indexed citations. Recurring topics across this work include Genetic factors in colorectal cancer (8 papers), Chronic Lymphocytic Leukemia Research (3 papers), Cancer Genomics and Diagnostics (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Neuroendocrine Tumor Research Advances (3 papers), Bladder and Urothelial Cancer Treatments (3 papers), Lung Cancer Research Studies (3 papers) and Mitochondrial Function and Pathology (2 papers). The work is most often cited by research in Cancer Research (208 citations), Pathology and Forensic Medicine (232 citations), Oncology (319 citations), Immunology and Allergy (69 citations) and Rheumatology (138 citations). Chieki Wada has collaborated with scholars based in Japan, United States and France. Frequent co-authors include H Ohtani, Tohru Akahoshi, Shigeru Hosaka, Τοyoaki Uchida, Ken Koshiba, Hirohito M. Kondo, Shinichi Egawa, Toru Kameya, Handong Wang and Shin Egawa. Their work appears in journals such as The Journal of Urology, International Journal of Cancer, Blood, Gene and British Journal of Cancer.

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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