Shalem Modi

616 total citations
9 papers, 456 citations indexed

About

Shalem Modi is a scholar working on Surgery, Molecular Biology and Geriatrics and Gerontology. According to data from OpenAlex, Shalem Modi has authored 9 papers receiving a total of 456 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Surgery, 3 papers in Molecular Biology and 3 papers in Geriatrics and Gerontology. Recurrent topics in Shalem Modi's work include Sirtuins and Resveratrol in Medicine (3 papers), Pancreatic function and diabetes (3 papers) and Autophagy in Disease and Therapy (2 papers). Shalem Modi is often cited by papers focused on Sirtuins and Resveratrol in Medicine (3 papers), Pancreatic function and diabetes (3 papers) and Autophagy in Disease and Therapy (2 papers). Shalem Modi collaborates with scholars based in Finland, Switzerland and France. Shalem Modi's co-authors include Nagendra Yaluri, Markku Laakso, Alena Stančáková, Johanna Kuusisto, Henna Cederberg, Tarja Kokkola, David Sinclair, Peter J. Elliott, Sakari Kainulainen and Marie Lagouge and has published in prestigious journals such as PLoS ONE, Diabetes and Scientific Reports.

In The Last Decade

Shalem Modi

9 papers receiving 448 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Shalem Modi Finland	8	225	151	146	100	61	9	456
Nagendra Yaluri Finland	10	238 1.1×	173 1.1×	163 1.1×	149 1.5×	61 1.0×	11	534
Akira Takaguri Japan	13	119 0.5×	217 1.4×	79 0.5×	60 0.6×	8 0.1×	34	500
Stephen Djedjos United States	5	196 0.9×	302 2.0×	171 1.2×	81 0.8×	15 0.2×	12	486
Srividya Velagapudi Switzerland	9	111 0.5×	171 1.1×	68 0.5×	87 0.9×	11 0.2×	12	423
Nassrene Y. Elmadhun United States	15	103 0.5×	182 1.2×	40 0.3×	70 0.7×	42 0.7×	39	492
Bhakti Patel India	4	225 1.0×	469 3.1×	127 0.9×	81 0.8×	25 0.4×	9	609
Jie Fang China	8	95 0.4×	213 1.4×	108 0.7×	59 0.6×	14 0.2×	25	427
Hyunhee Oh South Korea	10	138 0.6×	244 1.6×	91 0.6×	75 0.8×	44 0.7×	18	501
Hwanju Cheon South Korea	9	193 0.9×	248 1.6×	94 0.6×	87 0.9×	32 0.5×	9	567
Kai Liang China	14	114 0.5×	132 0.9×	134 0.9×	70 0.7×	8 0.1×	32	446

Countries citing papers authored by Shalem Modi

Since Specialization

Citations

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

Fields of papers citing papers by Shalem Modi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shalem Modi

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

All Works

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9 of 9 papers shown

Modi, Shalem, Nikolay Naumenko, Anastasia Shakirzyanova, et al.. (2022). Varied Responses to a High m.3243A>G Mutation Load and Respiratory Chain Dysfunction in Patient-Derived Cardiomyocytes. Cells. 11(16). 2593–2593. 13 indexed citations

Silva, Lilian Fernandes, Jagadish Vangipurapu, Shalem Modi, et al.. (2018). Functional Variant in the GCKR Gene Affects Lactate Levels Differentially in the Fasting State and During Hyperglycemia. Scientific Reports. 8(1). 15989–15989. 6 indexed citations

Modi, Shalem, Nagendra Yaluri, & Tarja Kokkola. (2018). Strigolactone GR24 and pinosylvin attenuate adipogenesis and inflammation of white adipocytes. Biochemical and Biophysical Research Communications. 499(2). 164–169. 15 indexed citations

Modi, Shalem, Nagendra Yaluri, Tarja Kokkola, & Markku Laakso. (2017). Plant-derived compounds strigolactone GR24 and pinosylvin activate SIRT1 and enhance glucose uptake in rat skeletal muscle cells. Scientific Reports. 7(1). 17606–17606. 22 indexed citations

Yaluri, Nagendra, Shalem Modi, & Tarja Kokkola. (2016). Simvastatin induces insulin resistance in L6 skeletal muscle myotubes by suppressing insulin signaling, GLUT4 expression and GSK-3β phosphorylation. Biochemical and Biophysical Research Communications. 480(2). 194–200. 26 indexed citations

Yaluri, Nagendra, Shalem Modi, Alena Stančáková, et al.. (2015). Simvastatin Impairs Insulin Secretion by Multiple Mechanisms in MIN6 Cells. PLoS ONE. 10(11). e0142902–e0142902. 39 indexed citations

Cederberg, Henna, Alena Stančáková, Nagendra Yaluri, et al.. (2015). Increased risk of diabetes with statin treatment is associated with impaired insulin sensitivity and insulin secretion: a 6 year follow-up study of the METSIM cohort. Diabetologia. 58(5). 1109–1117. 217 indexed citations

Shimomura, Kenju, Michaela Iberl, Melissa F. Brereton, et al.. (2013). A Mouse Model of Human Hyperinsulinism Produced by the E1506K Mutation in the Sulphonylurea Receptor SUR1. Diabetes. 62(11). 3797–3806. 32 indexed citations

Rutanen, Jarno, Nagendra Yaluri, Shalem Modi, et al.. (2010). SIRT1 mRNA Expression May Be Associated With Energy Expenditure and Insulin Sensitivity. Diabetes. 59(4). 829–835. 86 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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