Tomer Nir

3.0k total citations · 1 hit paper
17 papers, 2.4k citations indexed

About

Tomer Nir is a scholar working on Surgery, Genetics and Molecular Biology. According to data from OpenAlex, Tomer Nir has authored 17 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Surgery, 5 papers in Genetics and 4 papers in Molecular Biology. Recurrent topics in Tomer Nir's work include Pancreatic function and diabetes (8 papers), Diabetes and associated disorders (4 papers) and Advanced MRI Techniques and Applications (3 papers). Tomer Nir is often cited by papers focused on Pancreatic function and diabetes (8 papers), Diabetes and associated disorders (4 papers) and Advanced MRI Techniques and Applications (3 papers). Tomer Nir collaborates with scholars based in Israel, United States and Sweden. Tomer Nir's co-authors include Yuval Dor, Douglas A. Melton, Miri Stolovich-Rain, Oded Meyuhas, Hannah Cohen, Brett Marinelli, Joaquı́n M. Espinosa, Debra Toiber, Orian S. Shirihai and Carlos Sebastián and has published in prestigious journals such as Cell, Journal of Clinical Investigation and Genes & Development.

In The Last Decade

Tomer Nir

17 papers receiving 2.3k 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.

The Histone Deacetylase Sirt6 Regulates Glucose Homeostasis via Hif1α

2010 808 citations Lei Zhong, Agustina D’Urso et al. Cell profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Tomer Nir Israel	12	1.1k	747	496	474	394	17	2.4k
Kim Ravnskjær Denmark	17	1.2k 1.1×	572 0.8×	158 0.3×	216 0.5×	191 0.5×	30	2.1k
Fayçal Boussouar France	20	1.8k 1.6×	424 0.6×	266 0.5×	72 0.2×	287 0.7×	24	2.5k
Mitsutoki Hatta Japan	19	1.8k 1.6×	232 0.3×	164 0.3×	439 0.9×	174 0.4×	41	2.4k
Anton Bauer Austria	13	1.3k 1.2×	256 0.3×	217 0.4×	71 0.1×	256 0.6×	20	2.2k
Shufang Wu China	27	744 0.7×	178 0.2×	152 0.3×	111 0.2×	243 0.6×	66	1.8k
Fenfen Liu Taiwan	19	1.1k 1.0×	782 1.0×	368 0.7×	46 0.1×	179 0.5×	41	2.3k
Jean‐François Decaux France	23	981 0.9×	484 0.6×	164 0.3×	100 0.2×	115 0.3×	44	1.7k
Pawan Gulati United Kingdom	14	1.7k 1.5×	312 0.4×	204 0.4×	47 0.1×	313 0.8×	14	2.2k
Ignacio Flores Spain	25	1.9k 1.7×	288 0.4×	143 0.3×	85 0.2×	234 0.6×	38	3.0k
Hee‐Woong Lim United States	25	1.4k 1.3×	317 0.4×	317 0.6×	50 0.1×	360 0.9×	51	3.1k

Countries citing papers authored by Tomer Nir

Since Specialization

Citations

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

Fields of papers citing papers by Tomer Nir

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tomer Nir

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

All Works

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17 of 17 papers shown

Israel, Zvi, Omer Zarchi, Idit Tamir, et al.. (2025). Is the Subthalamic Nucleus Sleeping Under Nitrous Oxide–Ketamine General Anesthesia?. European Journal of Neuroscience. 61(5). e70039–e70039. 1 indexed citations

Tang, Cheuk Y., Victoria X. Wang, Joshua S. Mincer, et al.. (2021). Transient changes in white matter microstructure during general anesthesia. PLoS ONE. 16(3). e0247678–e0247678. 6 indexed citations

Nir, Tomer, Yael Jacob, Arthur E. Schwartz, et al.. (2021). Lateralisation of subcortical functional connectivity during and after general anaesthesia. British Journal of Anaesthesia. 128(1). 65–76. 7 indexed citations

Nir, Tomer, Yael Jacob, Arthur E. Schwartz, et al.. (2020). Resting-state functional connectivity in early postanaesthesia recovery is characterised by globally reduced anticorrelations. British Journal of Anaesthesia. 125(4). 529–538. 13 indexed citations

Nir, Tomer, et al.. (2019). Transient subcortical functional connectivity upon emergence from propofol sedation in human male volunteers: evidence for active emergence. British Journal of Anaesthesia. 123(3). 298–308. 11 indexed citations

Levy, Nadav, Tomer Nir, Yuval Bar‐Yosef, et al.. (2018). Toward Respiratory-Gated Retrograde Intrarenal Surgery: A Prospective Controlled Randomized Study. Journal of Endourology. 32(9). 812–817. 9 indexed citations

Mandelbaum, Amitai D., Tal Melkman-Zehavi, Roni Oren, et al.. (2012). Dysregulation of Dicer1 in Beta Cells Impairs Islet Architecture and Glucose Metabolism. Experimental Diabetes Research. 2012. 1–8. 49 indexed citations

Melkman-Zehavi, Tal, Roni Oren, Sharon Kredo‐Russo, et al.. (2011). miRNAs control insulin content in pancreatic β‐cells via downregulation of transcriptional repressors. The EMBO Journal. 30(5). 835–845. 230 indexed citations

Gur, Chamutal, Jonatan Enk, Judith Magenheim, et al.. (2011). Recognition and Killing of Human and Murine Pancreatic β Cells by the NK Receptor NKp46. The Journal of Immunology. 187(6). 3096–3103. 54 indexed citations

10.

Zhong, Lei, Agustina D’Urso, Debra Toiber, et al.. (2010). The Histone Deacetylase Sirt6 Regulates Glucose Homeostasis via Hif1α. Cell. 140(2). 280–293. 808 indexed citations breakdown →

11.

Gur, Chamutal, Angel Porgador, Moran Elboim, et al.. (2009). The activating receptor NKp46 is essential for the development of type 1 diabetes. Nature Immunology. 11(2). 121–128. 150 indexed citations

12.

Nir, Tomer, Elizabeth Arkhangelsky, Inna Levitsky, & Vitaly Gitis. (2009). Removal of phosphorus from secondary effluents by coagulation and ultrafiltration. Desalination and Water Treatment. 8(1-3). 24–30. 17 indexed citations

13.

Khalaileh, Abed, Tsufit Gonen‐Gross, Judith Magenheim, et al.. (2008). Determinants of pancreatic β‐cell regeneration. Diabetes Obesity and Metabolism. 10(s4). 128–135. 10 indexed citations

14.

Nir, Tomer, Douglas A. Melton, & Yuval Dor. (2007). Recovery from diabetes in mice by β cell regeneration. Journal of Clinical Investigation. 117(9). 2553–2561. 457 indexed citations

15.

Cohen, Hannah, et al.. (2005). Ribosomal protein S6 phosphorylation is a determinant of cell size and glucose homeostasis. Genes & Development. 19(18). 2199–2211. 496 indexed citations

16.

Nir, Tomer & Yuval Dor. (2005). How to make pancreatic β cells — prospects for cell therapy in diabetes. Current Opinion in Biotechnology. 16(5). 524–529. 24 indexed citations

17.

Kofman, Ora, Ehud Klein, Michael E. Newman, et al.. (1990). Inhibition by antibiotic tetracyclines of rat cortical noradrenergic adenylate cyclase and amphetamine-induced hyperactivity. Pharmacology Biochemistry and Behavior. 37(3). 417–424. 22 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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