Ei Kinai

706 total citations
39 papers, 473 citations indexed

About

Ei Kinai is a scholar working on Infectious Diseases, Virology and Hematology. According to data from OpenAlex, Ei Kinai has authored 39 papers receiving a total of 473 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Infectious Diseases, 13 papers in Virology and 11 papers in Hematology. Recurrent topics in Ei Kinai's work include HIV/AIDS drug development and treatment (16 papers), HIV Research and Treatment (12 papers) and Hemophilia Treatment and Research (11 papers). Ei Kinai is often cited by papers focused on HIV/AIDS drug development and treatment (16 papers), HIV Research and Treatment (12 papers) and Hemophilia Treatment and Research (11 papers). Ei Kinai collaborates with scholars based in Japan, United States and Vietnam. Ei Kinai's co-authors include Hideji Hanabusa, Yoshimi Kikuchi, Shinichi Oka, Hiroyuki Gatanaga, Katsuji Teruya, Takeshi Nishijima, Kunihisa Tsukada, Kôji Watanabe, Takahiro Aoki and Hirohisa Yazaki and has published in prestigious journals such as PLoS ONE, Antimicrobial Agents and Chemotherapy and AIDS.

In The Last Decade

Ei Kinai

31 papers receiving 460 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ei Kinai Japan 12 352 241 137 122 55 39 473
Marc Antoine Valantin France 9 309 0.9× 162 0.7× 217 1.6× 199 1.6× 58 1.1× 17 579
Anna Danise Italy 13 382 1.1× 104 0.4× 289 2.1× 128 1.0× 21 0.4× 24 504
Patrizia Zucchi Italy 7 295 0.8× 270 1.1× 138 1.0× 151 1.2× 35 0.6× 15 498
Eric Billaud France 12 185 0.5× 152 0.6× 115 0.8× 182 1.5× 30 0.5× 28 488
Bruce Rashbaum United States 6 340 1.0× 137 0.6× 235 1.7× 68 0.6× 24 0.4× 9 384
Tanakorn Apornpong Thailand 10 134 0.4× 129 0.5× 130 0.9× 152 1.2× 13 0.2× 40 344
Marilyn McMurchie Australia 6 297 0.8× 94 0.4× 241 1.8× 84 0.7× 28 0.5× 11 447
Martin Gartland United Kingdom 11 794 2.3× 262 1.1× 634 4.6× 117 1.0× 26 0.5× 19 866
Lloyd Curtis United States 8 358 1.0× 206 0.9× 285 2.1× 79 0.6× 14 0.3× 12 498
Christiane Moecklinghoff Germany 14 592 1.7× 258 1.1× 492 3.6× 103 0.8× 57 1.0× 34 728

Countries citing papers authored by Ei Kinai

Since Specialization
Citations

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

Fields of papers citing papers by Ei Kinai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ei Kinai

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

All Works

20 of 20 papers shown
1.
Watanabe, Aki, Ei Kinai, Shinichi Oka, et al.. (2024). Prevalence and associated factors of low vigor in patients living with HIV and hemophilia in Japan: A cross-sectional observational study. Global Health & Medicine. 6(3). 174–182.
2.
Niiya, Kenji, et al.. (2023). Trisomy X conferring moderate hemophilia A by extremely skewed X-chromosome inactivation. Research and Practice in Thrombosis and Haemostasis. 7(7). 102233–102233. 1 indexed citations
3.
Yamaguchi, Tomoko, Satoru Nagatoishi, Hiroshi Inaba, et al.. (2023). In vitro validation of chromogenic substrate assay for evaluation of surrogate FVIII-activity of emicizumab. Thrombosis Research. 222. 131–139. 6 indexed citations
4.
Inaba, Hiroshi, Yuji Kashiwakura, Morisada Hayakawa, et al.. (2023). Genome editing of patient-derived iPSCs identifies a deep intronic variant causing aberrant splicing in hemophilia A. Blood Advances. 7(22). 7017–7027. 1 indexed citations
5.
Kinai, Ei, et al.. (2022). Analysis of nationwide hemophilia care: A cohort study using two Japanese healthcare claims databases. Health Science Reports. 5(1). e498–e498. 2 indexed citations
6.
7.
Amano, Kagehiro, et al.. (2022). Young age is a key determinant of body weight gain after switching from tenofovir disoproxil fumarate to tenofovir alafenamide in Japanese people living with HIV. Journal of Infection and Chemotherapy. 29(2). 171–178. 2 indexed citations
8.
Amano, Kagehiro, et al.. (2021). Genetic analysis of carrier status in female members of Japanese hemophilia families. Journal of Thrombosis and Haemostasis. 19(6). 1493–1505. 2 indexed citations
9.
Inaba, Hiroshi, et al.. (2021). Coagulation assay discrepancies in Japanese patients with non-severe hemophilia A. International Journal of Hematology. 115(2). 173–187. 2 indexed citations
10.
11.
Imai, Koubun, Aki Watanabe, Ei Kinai, et al.. (2020). Neurocognitive dysfunction and brain FDG-PET/CT findings in HIV-infected hemophilia patients and HIV-infected non-hemophilia patients. PLoS ONE. 15(3). e0230292–e0230292. 2 indexed citations
12.
13.
Uemura, Haruka, Kunihisa Tsukada, Daisuke Mizushima, et al.. (2017). Interferon-free therapy with direct acting antivirals for HCV/HIV-1 co-infected Japanese patients with inherited bleeding disorders. PLoS ONE. 12(10). e0186255–e0186255. 13 indexed citations
14.
Kinai, Ei, Takeshi Nishijima, Daisuke Mizushima, et al.. (2014). Long-Term Use of Protease Inhibitors Is Associated with Bone Mineral Density Loss. AIDS Research and Human Retroviruses. 30(6). 553–559. 22 indexed citations
15.
Nishijima, Takeshi, K. Tsuchiya, Noriko Tanaka, et al.. (2014). Single-nucleotide polymorphisms in the UDP-glucuronosyltransferase 1A-3' untranslated region are associated with atazanavir-induced nephrolithiasis in patients with HIV-1 infection: a pharmacogenetic study. Journal of Antimicrobial Chemotherapy. 69(12). 3320–3328. 12 indexed citations
16.
Nishijima, Takeshi, Yohei Kawasaki, Noriko Tanaka, et al.. (2014). Long-term exposure to tenofovir continuously decrease renal function in HIV-1-infected patients with low body weight. AIDS. 28(13). 1903–1910. 57 indexed citations
17.
Nishijima, Takeshi, Yohei Hamada, Kôji Watanabe, et al.. (2013). Ritonavir-Boosted Darunavir Is Rarely Associated with Nephrolithiasis Compared with Ritonavir-Boosted Atazanavir in HIV-Infected Patients. PLoS ONE. 8(10). e77268–e77268. 17 indexed citations
18.
Nishijima, Takeshi, Hiroyuki Gatanaga, Hirokazu Komatsu, et al.. (2012). Renal Function Declines More in Tenofovir- than Abacavir-Based Antiretroviral Therapy in Low-Body Weight Treatment-Naïve Patients with HIV Infection. PLoS ONE. 7(1). e29977–e29977. 47 indexed citations
19.
Nishijima, Takeshi, Hirokazu Komatsu, Hiroyuki Gatanaga, et al.. (2011). Impact of Small Body Weight on Tenofovir-Associated Renal Dysfunction in HIV-Infected Patients: A Retrospective Cohort Study of Japanese Patients. PLoS ONE. 6(7). e22661–e22661. 84 indexed citations
20.
Kinai, Ei & Hideji Hanabusa. (2009). Progressive Renal Tubular Dysfunction Associated with Long-Term Use of Tenofovir DF. AIDS Research and Human Retroviruses. 25(4). 387–394. 64 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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