Seishi Murakami

6.9k citations
96 papers · 5.5k indexed · h-index 38

Seishi Murakami

94 papers receiving 5.4k citations

Peers

Seishi Murakami
Comparison fields: 5 of 102
  • Hepatology 1.9k
  • Epidemiology 2.5k
  • Aging 98
  • Virology 237
  • Cancer Research 705
Replace Takayuki Murata with:
Takayuki Murata Japan
Jun–ichi Fujisawa Japan
John McLauchlan United Kingdom
Maria G. Masucci Sweden
Liang‐Guo Xu China
Maura Dandri Germany
Christine Neuveut France
Mingxiao Ding China
Nicola La Monica Italy
Patrick R. Romano United States
Seishi Murakami relative to Takayuki Murata Japan Takayuki Murata's profile →
Citations per field
00.5×
Takayuki Murata · 1×
Citations per year

Countries citing papers authored by Seishi Murakami

Since Specialization
Citations

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

Fields of papers citing papers by Seishi Murakami

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 200727
2 200710
3 200728
4
Telomerase maintains telomere structure in normal human cells
2006422
5
The transcriptional transactivation function of HBx protein is important for its augmentation role in hepatitis B virus replication1
2006160
6
Nucleolin interacts with telomerase
200695
7 2006235
8
Two independent regions of human telomerase reverse transcriptase (hTERT) are important for its oligomerization and telomerase activity
20037
9
Oligomeric interacion of Hepatitis C Virus NS5B is critical for catalytic activity of RNA dependent RNA polymerase
200311
10
Hepatitis C Virus NS5A Binds RNA-Dependent RNA polymerase NS5B and modulates RdRP activity
20033
11 200229
12 200087
13 1999123
14 1998193
15 199742
16 199433
17 19945
18 199316
19 199026
20 19873

About Seishi Murakami

Seishi Murakami is a scholar working on Hepatology, Aging and Epidemiology, having authored 96 papers that have together received 5.5k indexed citations. Recurring topics across this work include Hepatitis B Virus Studies (41 papers), Hepatitis C virus research (33 papers), RNA Interference and Gene Delivery (12 papers), Telomeres, Telomerase, and Senescence (9 papers), Liver Disease Diagnosis and Treatment (9 papers), DNA Repair Mechanisms (8 papers), Viral Infections and Immunology Research (8 papers) and Animal Virus Infections Studies (7 papers). The work is most often cited by research in Hepatology (1.9k citations), Epidemiology (2.5k citations) and Aging (98 citations). Seishi Murakami has collaborated with scholars based in Japan, United States and China. Frequent co-authors include Shuichi Kaneko, Kenichi Kobayashi, Yong Lin, Shuichi Kaneko, Naoki Oishi, Tatsuya Yamashita, Min Yi, Hong Tang, Masao Honda and Dorjbal Dorjsuren. Their work appears in journals such as Nature, Journal of Biological Chemistry and The EMBO Journal.

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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