Koichi Nakajima

3.4k citations
90 papers · 2.7k indexed · 2 hit papers · h-index 24

Koichi Nakajima

81 papers receiving 2.7k citations

Hit Papers

Long Noncoding RNA MALAT1 Prom...4711996202620062016100200300400500

Peers

Koichi Nakajima
Comparison fields: 5 of 114
  • Cancer Research 863
  • Oncology 701
  • Molecular Biology 1.7k
  • Immunology 388
  • Pathology and Forensic Medicine 251
Replace Wan Du with:
Wan Du China
Min‐Wei Chen China
Stefania Gelmini Italy
Siqun L. Zheng United States
Wei Tan China
Carla Costa Portugal
Hua Zhao China
Kirti Shetty United States
Isabel Puig Spain
S Saez France
Koichi Nakajima relative to Wan Du China Wan Du's profile →
Citations per field
00.5×1.7×
Wan Du · 1×
Citations per year

Countries citing papers authored by Koichi Nakajima

Since Specialization
Citations

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

Fields of papers citing papers by Koichi Nakajima

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20260
2 20233
3 20200
4 20181
5 20182
6
Long Noncoding RNA MALAT1 Promotes Aggressive Renal Cell Carcinoma through Ezh2 and Interacts with miR-205breakdown →
2015471
7 20140
8 20137
9 20114
10 20103
11 200979
12 200915
13 200212
14 20029
15 20014
16 200112
17 200058
18 199949
19 19961
20
Two Signals Are Necessary for Cell Proliferation Induced by a Cytokine Receptor gp130: Involvement of STAT3 in Anti-Apoptosisbreakdown →
1996583

About Koichi Nakajima

Koichi Nakajima is a scholar working on Reproductive Medicine, Leadership and Management and Urology, having authored 90 papers that have together received 2.7k indexed citations. Recurring topics across this work include Sexual function and dysfunction studies (9 papers), Genetic factors in colorectal cancer (9 papers), Cancer-related gene regulation (9 papers), Renal and related cancers (9 papers), Sperm and Testicular Function (7 papers), Epigenetics and DNA Methylation (7 papers), Sexual Differentiation and Disorders (6 papers) and Wnt/β-catenin signaling in development and cancer (6 papers). The work is most often cited by research in Cancer Research (863 citations), Oncology (701 citations) and Molecular Biology (1.7k citations). Koichi Nakajima has collaborated with scholars based in Japan, United States and South Korea. Frequent co-authors include Rajvir Dahiya, Nobuhisa Ishii, Hiroshi Hirata, Yuji Hinoda, Z. Laura Tabatabai, Yojiro Yamanaka, Yoshio Fujitani, Toshiyuki Fukada, Masahiko Hibi and Mariko Takahashi-Tezuka. Their work appears in journals such as SHILAP Revista de lepidopterología, Immunity and 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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