Jun Hasegawa

1.6k citations
8 papers · 1.2k indexed · 1 hit paper · h-index 7
Topics
RNA Research and Splicing (6 papers)RNA and protein synthesis mechanisms (4 papers)Genomics and Chromatin Dynamics (3 papers)
Partner nations
JapanUnited StatesNepal

In The Last Decade

Jun Hasegawa

8 papers receiving 1.2k citations

Hit Papers

NELF, a Multisubunit Complex Containing RD, Cooperates wi...19992026200820171999200400600

Peers

Jun Hasegawa
Comparison fields: 5 of 67
  • Molecular Biology 1.0k
  • Virology 140
  • Immunology 121
  • Genetics 86
  • Oncology 77
Replace Sara J. Dawson with:
Sara J. Dawson United Kingdom
Prabhat Kumar Purbey India
Indhira Handy United States
Michael Markey United States
Frank Korioth Germany
Junshuang Zhao China
Hongdong Bai United States
Caryll Waugh Australia
Sumayah Jamal United States
Etsuo Yoshida Japan
Jun Hasegawa relative to Sara J. Dawson United Kingdom Sara J. Dawson's profile →
Citations per field
00.5×3.1×
Sara J. Dawson · 1×
Citations per year

Countries citing papers authored by Jun Hasegawa

Since Specialization
Citations

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

Fields of papers citing papers by Jun Hasegawa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jun Hasegawa

This figure shows the co-authorship network connecting the top 25 collaborators of Jun Hasegawa. A scholar is included among the top collaborators of Jun Hasegawa based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jun Hasegawa. Jun Hasegawa is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

8 of 8 papers shown
#WorkIndexed citations
1 92
2 102
3
Utilization of PCIA (patient-controlled intravenous analgesia) for postoperative analgesia of spine fusion.
5
4 11
5 175
6 87
7 120
8
NELF, a Multisubunit Complex Containing RD, Cooperates with DSIF to Repress RNA Polymerase II Elongationbreakdown →
651

About Jun Hasegawa

Jun Hasegawa is a scholar working on Biochemistry, Molecular Biology and Oncology, having authored 8 papers that have together received 1.2k indexed citations. Recurring topics across this work include RNA Research and Splicing (6 papers), RNA and protein synthesis mechanisms (4 papers) and Genomics and Chromatin Dynamics (3 papers). The work is most often cited by research in Virology (140 citations), Molecular Biology (1.0k citations) and Biochemistry (67 citations). Jun Hasegawa has collaborated with scholars based in Japan, United States and Nepal. Frequent co-authors include Yuki Yamaguchi, Hiroshi Handa, Tadashi Wada, Toshiyuki Takagi, Seiji Sugimoto, Keiichi Yano, Akiko Furuya, Tomoko Yamada, Takashi Narita and Naoto Inukai. Their work appears in journals such as Cell, Journal of Biological Chemistry and Molecular Cell.

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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