Sei Kondo

1.0k total citations · 1 hit paper
6 papers, 874 citations indexed

About

Sei Kondo is a scholar working on Molecular Biology, Epidemiology and Rheumatology. According to data from OpenAlex, Sei Kondo has authored 6 papers receiving a total of 874 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 2 papers in Epidemiology and 2 papers in Rheumatology. Recurrent topics in Sei Kondo's work include Pregnancy and preeclampsia studies (1 paper), Autophagy in Disease and Therapy (1 paper) and Extracellular vesicles in disease (1 paper). Sei Kondo is often cited by papers focused on Pregnancy and preeclampsia studies (1 paper), Autophagy in Disease and Therapy (1 paper) and Extracellular vesicles in disease (1 paper). Sei Kondo collaborates with scholars based in Japan and United States. Sei Kondo's co-authors include Yasuko Kondo, Hideaki Ito, Tadashi Komata, Isabelle M. Germano, Takao Kanzawa, Takako Hattori, Satoshi Kubota, Takashi Nishida, Yusuke Maruyama and Mika Ikegame and has published in prestigious journals such as Scientific Reports, International Journal of Molecular Sciences and Cell Death and Differentiation.

In The Last Decade

Sei Kondo

5 papers receiving 865 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Role of autophagy in temozolomide-induced cytotoxicity for malignant glioma cells

2004 826 citations Takao Kanzawa, Isabelle M. Germano et al. Cell Death and Differentiation profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Sei Kondo Japan	4	525	512	142	114	114	6	874
Shigeru Daido Japan	9	577 1.1×	576 1.1×	160 1.1×	82 0.7×	132 1.2×	17	966
Makoto Katayama Japan	14	723 1.4×	269 0.5×	126 0.9×	124 1.1×	68 0.6×	43	1.2k
Marina N. Sharifi United States	12	876 1.7×	796 1.6×	352 2.5×	29 0.3×	185 1.6×	38	1.4k
Erin E. Mowers United States	5	569 1.1×	597 1.2×	243 1.7×	17 0.1×	154 1.4×	6	914
Lauren E. Drake United States	8	579 1.1×	516 1.0×	215 1.5×	17 0.1×	149 1.3×	9	904
Yufang Shao United States	9	1.2k 2.3×	396 0.8×	93 0.7×	33 0.3×	239 2.1×	10	1.6k
Linmei Long China	7	358 0.7×	204 0.4×	138 1.0×	85 0.7×	33 0.3×	7	548
Xufang Dai China	14	434 0.8×	242 0.5×	148 1.0×	22 0.2×	76 0.7×	27	651
Guangbo Liu China	11	606 1.2×	204 0.4×	173 1.2×	45 0.4×	325 2.9×	17	1.0k
Jayashree Joshi United States	9	520 1.0×	259 0.5×	118 0.8×	18 0.2×	113 1.0×	11	763

Countries citing papers authored by Sei Kondo

Since Specialization

Citations

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

Fields of papers citing papers by Sei Kondo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sei Kondo

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

All Works

Sort: Min cites: Since: Top N: Style:

6 of 6 papers shown

1.

Takeuchi, Koh, Lisa Nagase, Shun Kageyama, et al.. (2025). PI 5 P 4 K inhibitors: promising opportunities and challenges. FEBS Journal. 292(17). 4446–4476.

2.

Hattori, Takako, Sei Kondo, Kota Kataoka, et al.. (2022). Maternal Gut Microbiome Decelerates Fetal Endochondral Bone Formation by Inducing Inflammatory Reaction. Microorganisms. 10(5). 1000–1000. 1 indexed citations

3.

Kondo, Sei, Mitsuaki Ono, Takayuki Furumatsu, et al.. (2020). CCN3 (NOV) Drives Degradative Changes in Aging Articular Cartilage. International Journal of Molecular Sciences. 21(20). 7556–7556. 20 indexed citations

4.

Yamachika, Eiki, Makoto Nakanishi, Tadashi Ninomiya, et al.. (2019). Intermittent parathyroid hormone 1–34 induces oxidation and deterioration of mineral and collagen quality in newly formed mandibular bone. Scientific Reports. 9(1). 8041–8041. 7 indexed citations

5.

Uchida, Yoko, Sei Kondo, Takashi Nishida, et al.. (2019). Circadian production of melatonin in cartilage modifies rhythmic gene expression. Journal of Endocrinology. 241(2). 161–173. 20 indexed citations

6.

Kanzawa, Takao, Isabelle M. Germano, Tadashi Komata, et al.. (2004). Role of autophagy in temozolomide-induced cytotoxicity for malignant glioma cells. Cell Death and Differentiation. 11(4). 448–457. 826 indexed citations breakdown →

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.

Explore authors with similar magnitude of impact