Junji Sashihara

1.5k total citations
16 papers, 1.1k citations indexed

About

Junji Sashihara is a scholar working on Oncology, Epidemiology and Pathology and Forensic Medicine. According to data from OpenAlex, Junji Sashihara has authored 16 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Oncology, 12 papers in Epidemiology and 2 papers in Pathology and Forensic Medicine. Recurrent topics in Junji Sashihara's work include Cytomegalovirus and herpesvirus research (12 papers), Viral-associated cancers and disorders (11 papers) and Herpesvirus Infections and Treatments (9 papers). Junji Sashihara is often cited by papers focused on Cytomegalovirus and herpesvirus research (12 papers), Viral-associated cancers and disorders (11 papers) and Herpesvirus Infections and Treatments (9 papers). Junji Sashihara collaborates with scholars based in Japan, United States and Switzerland. Junji Sashihara's co-authors include Koichi Yamanishi, Keiko Tanaka‐Taya, Jeffrey I. Cohen, Hiromi Miyagawa, Shintaro Okada, Kiyoko Amo, Kazuhiro Kondo, Christian Münz, Charles M. Rice and Frida Arrey and has published in prestigious journals such as The Journal of Experimental Medicine, Blood and The Journal of Immunology.

In The Last Decade

Junji Sashihara

16 papers receiving 1.1k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Junji Sashihara Japan 14 761 654 258 191 104 16 1.1k
D. V. Ablashi United States 18 1.2k 1.5× 795 1.2× 196 0.8× 421 2.2× 74 0.7× 62 1.5k
Raffaella Trovato Italy 16 428 0.6× 594 0.9× 275 1.1× 318 1.7× 108 1.0× 24 975
Riccarda Capaul Switzerland 14 317 0.4× 378 0.6× 320 1.2× 118 0.6× 173 1.7× 18 712
M. Martin France 11 670 0.9× 481 0.7× 109 0.4× 135 0.7× 43 0.4× 39 970
J Beneke United States 7 543 0.7× 604 0.9× 139 0.5× 266 1.4× 114 1.1× 12 950
Samantha K. Dunmire United States 10 246 0.3× 493 0.8× 328 1.3× 201 1.1× 178 1.7× 10 853
Tania Crough Australia 15 1.2k 1.5× 374 0.6× 638 2.5× 190 1.0× 27 0.3× 19 1.5k
Nancy Gudgeon United Kingdom 16 791 1.0× 869 1.3× 1.4k 5.3× 170 0.9× 234 2.3× 23 1.9k
Jeffrey I. Cohen United States 11 399 0.5× 249 0.4× 682 2.6× 47 0.2× 149 1.4× 12 1.2k
Hans Rudolf Lüttichau Denmark 16 523 0.7× 559 0.9× 507 2.0× 132 0.7× 36 0.3× 38 1.2k

Countries citing papers authored by Junji Sashihara

Since Specialization
Citations

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

Fields of papers citing papers by Junji Sashihara

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Junji Sashihara

This figure shows the co-authorship network connecting the top 25 collaborators of Junji Sashihara. A scholar is included among the top collaborators of Junji Sashihara 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 Junji Sashihara. Junji Sashihara is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

16 of 16 papers shown
1.
Sashihara, Junji, Yo Hoshino, Tammy Krogmann, et al.. (2011). Soluble Rhesus Lymphocryptovirus gp350 Protects against Infection and Reduces Viral Loads in Animals that Become Infected with Virus after Challenge. PLoS Pathogens. 7(10). e1002308–e1002308. 42 indexed citations
2.
Strowig, Till, Cagan Gurer, Alexander Ploß, et al.. (2009). Priming of protective T cell responses against virus-induced tumors in mice with human immune system components. The Journal of Experimental Medicine. 206(6). 1423–1434. 243 indexed citations
3.
Sashihara, Junji, Peter D. Burbelo, Barbara Savoldo, Theodore C. Pierson, & Jeffrey I. Cohen. (2009). Human antibody titers to Epstein–Barr Virus (EBV) gp350 correlate with neutralization of infectivity better than antibody titers to EBV gp42 using a rapid flow cytometry-based EBV neutralization assay. Virology. 391(2). 249–256. 71 indexed citations
4.
Lünemann, Jan D., Oliver Frey, Thorsten Eidner, et al.. (2008). Increased Frequency of EBV-Specific Effector Memory CD8+ T Cells Correlates with Higher Viral Load in Rheumatoid Arthritis. The Journal of Immunology. 181(2). 991–1000. 51 indexed citations
5.
Yamagishi, Yoshiaki, Hiromi Miyagawa, Kazuko Wada, et al.. (2006). CMV DNA detection in dried blood spots for diagnosing congenital CMV infection in Japan. Journal of Medical Virology. 78(7). 923–925. 22 indexed citations
6.
Tanaka‐Taya, Keiko, Junji Sashihara, Hiroki Kurahashi, et al.. (2004). Human herpesvirus 6 (HHV‐6) is transmitted from parent to child in an integrated form and characterization of cases with chromosomally integrated HHV‐6 DNA. Journal of Medical Virology. 73(3). 465–473. 147 indexed citations
7.
8.
Amo, Kiyoko, Keiko Tanaka‐Taya, Reiko Inagi, et al.. (2003). Human Herpesvirus 6B Infection of the Large Intestine of Patients with Diarrhea. Clinical Infectious Diseases. 36(1). 120–123. 24 indexed citations
9.
Kondo, Kazuhiro, Junji Sashihara, Kazuyuki Shimada, et al.. (2003). Recognition of a Novel Stage of Betaherpesvirus Latency in Human Herpesvirus 6. Journal of Virology. 77(3). 2258–2264. 20 indexed citations
10.
Tokimasa, Sadao, Junichi Hara, Yuko Osugi, et al.. (2002). Ganciclovir is effective for prophylaxis and treatment of human herpesvirus-6 in allogeneic stem cell transplantation. Bone Marrow Transplantation. 29(7). 595–598. 65 indexed citations
11.
Kondo, Kazuhiro, Kazuyuki Shimada, Junji Sashihara, Keiko Tanaka‐Taya, & Koichi Yamanishi. (2002). Identification of Human Herpesvirus 6 Latency-Associated Transcripts. Journal of Virology. 76(8). 4145–4151. 44 indexed citations
12.
Sashihara, Junji, Keiko Tanaka‐Taya, Shinya Tanaka, et al.. (2002). High incidence of human herpesvirus 6 infection with a high viral load in cord blood stem cell transplant recipients. Blood. 100(6). 2005–2011. 7 indexed citations
13.
Sashihara, Junji, Keiko Tanaka‐Taya, Shinya Tanaka, et al.. (2002). High incidence of human herpesvirus 6 infection with a high viral load in cord blood stem cell transplant recipients. Blood. 100(6). 2005–2011. 118 indexed citations
14.
Matsuda, Y., Sadao Tokimasa, Akihisa Sawada, et al.. (2001). Foscarnet therapy for ganciclovir-resistant cytomegalovirus retinitis after stem cell transplantation: effective monitoring of CMV infection by quantitative analysis of CMV mRNA. Bone Marrow Transplantation. 27(11). 1141–1145. 10 indexed citations
15.
Inui, Koji, Hiromi Miyagawa, Junji Sashihara, et al.. (1999). Remission of progressive multifocal leukoencephalopathy following highly active antiretroviral therapy in a patient with HIV infection. Brain and Development. 21(6). 416–419. 14 indexed citations
16.
Isegawa, Yuji, Tetsu Mukai, Kazushi Nakano, et al.. (1999). Comparison of the Complete DNA Sequences of Human Herpesvirus 6 Variants A and B. Journal of Virology. 73(10). 8053–8063. 188 indexed citations

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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