Naoto Terami

421 total citations · 1 hit paper
5 papers, 365 citations indexed

About

Naoto Terami is a scholar working on Nephrology, Physiology and Surgery. According to data from OpenAlex, Naoto Terami has authored 5 papers receiving a total of 365 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Nephrology, 2 papers in Physiology and 1 paper in Surgery. Recurrent topics in Naoto Terami's work include Chronic Kidney Disease and Diabetes (2 papers), Heavy Metal Exposure and Toxicity (1 paper) and RNA Interference and Gene Delivery (1 paper). Naoto Terami is often cited by papers focused on Chronic Kidney Disease and Diabetes (2 papers), Heavy Metal Exposure and Toxicity (1 paper) and RNA Interference and Gene Delivery (1 paper). Naoto Terami collaborates with scholars based in Japan and United States. Naoto Terami's co-authors include Atsuko Nakatsuka, Hirofumi Makino, Jun Wada, Hiromi Tachibana, Jun Eguchi, Daisuke Ogawa, Takashi Hatanaka, Hiroshi Yamada, Kohji Takei and Hannes M. Findeisen and has published in prestigious journals such as PLoS ONE, Arteriosclerosis Thrombosis and Vascular Biology and American Journal of Physiology-Renal Physiology.

In The Last Decade

Naoto Terami

5 papers receiving 357 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.

Long-Term Treatment with the Sodium Glucose Cotransporter 2 Inhibitor, Dapagliflozin, Ameliorates Glucose Homeostasis and Diabetic Nephropathy in db/db Mice

2014 294 citations Naoto Terami, Daisuke Ogawa et al. PLoS ONE profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Naoto Terami Japan	5	248	124	116	110	38	5	365
Emily J. Johnson United States	8	179 0.7×	93 0.8×	134 1.2×	102 0.9×	41 1.1×	10	398
Yingqiong Peng China	4	188 0.8×	127 1.0×	95 0.8×	97 0.9×	30 0.8×	4	278
Josselin Nespoux United States	6	334 1.3×	220 1.8×	150 1.3×	183 1.7×	30 0.8×	14	491
Masaaki Miyauchi Japan	11	121 0.5×	54 0.4×	98 0.8×	117 1.1×	39 1.0×	25	359
Christoph Reichetzeder Germany	8	154 0.6×	68 0.5×	65 0.6×	72 0.7×	18 0.5×	9	337
Aleksandra Novikov United States	4	286 1.2×	190 1.5×	112 1.0×	107 1.0×	24 0.6×	4	387
Sho Sugahara Japan	5	173 0.7×	106 0.9×	92 0.8×	65 0.6×	19 0.5×	11	316
Domenica A. McCarthy Australia	8	130 0.5×	84 0.7×	90 0.8×	77 0.7×	21 0.6×	15	303
Nicole Flemming Australia	7	112 0.5×	83 0.7×	125 1.1×	85 0.8×	21 0.6×	9	315
Naoki Itabashi Japan	7	202 0.8×	87 0.7×	104 0.9×	47 0.4×	32 0.8×	18	328

Countries citing papers authored by Naoto Terami

Since Specialization

Citations

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

Fields of papers citing papers by Naoto Terami

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Naoto Terami

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

All Works

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5 of 5 papers shown

1.

Qing, Hua, Jun Aono, Naoto Terami, et al.. (2016). Telomerase Reverse Transcriptase Deficiency Prevents Neointima Formation Through Chromatin Silencing of E2F1 Target Genes. Arteriosclerosis Thrombosis and Vascular Biology. 37(2). 301–311. 14 indexed citations

2.

Ogawa, Daisuke, Jun Eguchi, Jun Wada, et al.. (2014). Nuclear Hormone Receptor Expression in Mouse Kidney and Renal Cell Lines. PLoS ONE. 9(1). e85594–e85594. 13 indexed citations

3.

Terami, Naoto, Daisuke Ogawa, Hiromi Tachibana, et al.. (2014). Long-Term Treatment with the Sodium Glucose Cotransporter 2 Inhibitor, Dapagliflozin, Ameliorates Glucose Homeostasis and Diabetic Nephropathy in db/db Mice. PLoS ONE. 9(6). e100777–e100777. 294 indexed citations breakdown →

4.

Ogawa, Daisuke, Jun Wada, Hiromi Tachibana, et al.. (2013). Telmisartan Attenuates Diabetic Nephropathy by Suppressing Oxidative Stress in <b><i>db/db</i></b> Mice. Nephron Experimental Nephrology. 121(3-4). e97–e108. 23 indexed citations

5.

Tachibana, Hiromi, Daisuke Ogawa, Norio Sogawa, et al.. (2013). Metallothionein deficiency exacerbates diabetic nephropathy in streptozotocin-induced diabetic mice. American Journal of Physiology-Renal Physiology. 306(1). F105–F115. 21 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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