Michael Tal

6.0k total citations
138 papers, 4.9k citations indexed

About

Michael Tal is a scholar working on Physiology, Cellular and Molecular Neuroscience and Molecular Biology. According to data from OpenAlex, Michael Tal has authored 138 papers receiving a total of 4.9k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Physiology, 31 papers in Cellular and Molecular Neuroscience and 29 papers in Molecular Biology. Recurrent topics in Michael Tal's work include Pain Mechanisms and Treatments (41 papers), Central Venous Catheters and Hemodialysis (20 papers) and Nerve injury and regeneration (14 papers). Michael Tal is often cited by papers focused on Pain Mechanisms and Treatments (41 papers), Central Venous Catheters and Hemodialysis (20 papers) and Nerve injury and regeneration (14 papers). Michael Tal collaborates with scholars based in Israel, United States and United Kingdom. Michael Tal's co-authors include Gary J. Bennett, Eli Eliav, Marshall Devor, Rafael Benoliel, Harvey F. Lodish, Yair Sharav, Eran Gabay, Shimon Efrat, Shlomo Rotshenker and Louis J. Goldberg and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical Investigation.

In The Last Decade

Michael Tal

136 papers receiving 4.7k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Michael Tal 2.1k 1.2k 1.1k 911 514 138 4.9k
Kimio Sugaya 1.2k 0.5× 1.2k 1.0× 2.8k 2.4× 580 0.6× 240 0.5× 374 7.7k
David C. Yeomans 2.7k 1.3× 1.5k 1.2× 897 0.8× 584 0.6× 393 0.8× 123 4.7k
Isaac M. Chiu 2.5k 1.2× 1.4k 1.2× 2.2k 1.9× 584 0.6× 719 1.4× 80 8.9k
Marcela Pekna 1.2k 0.5× 1.8k 1.5× 2.9k 2.5× 618 0.7× 701 1.4× 97 8.6k
R. B. Armstrong 3.3k 1.5× 724 0.6× 3.9k 3.4× 793 0.9× 237 0.5× 171 13.6k
Stuart M. Allan 1.4k 0.6× 1.5k 1.2× 3.4k 3.0× 586 0.6× 1.3k 2.5× 191 11.4k
A. de Haan 1.2k 0.5× 480 0.4× 1.5k 1.3× 541 0.6× 230 0.4× 194 8.1k
D. Pongratz 898 0.4× 743 0.6× 2.3k 2.0× 523 0.6× 825 1.6× 185 5.0k
Hiroshi Hasegawa 1.1k 0.5× 776 0.6× 2.7k 2.4× 923 1.0× 145 0.3× 188 6.3k
Naoki Yoshimura 2.0k 0.9× 1.3k 1.1× 1.5k 1.3× 2.1k 2.3× 1.0k 2.0× 507 14.7k

Countries citing papers authored by Michael Tal

Since Specialization
Citations

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

Fields of papers citing papers by Michael Tal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Tal

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Tal. A scholar is included among the top collaborators of Michael Tal 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 Michael Tal. Michael Tal 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
2.
Sharav, Yair, Yaron Haviv, & Michael Tal. (2023). Placebo or Nocebo Interventions as Affected by Hypnotic Susceptibility. Applied Sciences. 13(2). 931–931. 1 indexed citations
3.
Tal, Michael, et al.. (2018). LEV 8. Inframalleolar Access for Endovascular Treatment of Venous Insufficiency Ulcers. Journal of Vascular Surgery. 68(5). e129–e129. 1 indexed citations
4.
Dotan, Shahar, Marilou Shagan, Maxim Portnoi, et al.. (2013). NADH Oxidase Functions as an Adhesin in Streptococcus pneumoniae and Elicits a Protective Immune Response in Mice. PLoS ONE. 8(4). e61128–e61128. 20 indexed citations
5.
Nissenbaum, J., Marshall Devor, Ze’ev Seltzer, et al.. (2010). Susceptibility to chronic pain following nerve injury is genetically affected by CACNG2. Genome Research. 20(9). 1180–1190. 102 indexed citations
6.
Ni, Nina, Hamid Mojibian, Jeffrey Pollak, & Michael Tal. (2010). Association Between Disruption of Fibrin Sheaths Using Percutaneous Transluminal Angioplasty Balloons and Late Onset of Central Venous Stenosis. CardioVascular and Interventional Radiology. 34(1). 114–119. 10 indexed citations
7.
Gabay, Eran & Michael Tal. (2004). Pain behavior and nerve electrophysiology in the CCI model of neuropathic pain. Pain. 110(1). 354–360. 43 indexed citations
8.
Eliav, Eli, Sorin Teich, Dorit Nitzan, et al.. (2003). Facial arthralgia and myalgia: can they be differentiated by trigeminal sensory assessment?. Pain. 104(3). 481–490. 36 indexed citations
9.
Weick, Michael, P. Cherkas, W Härtig, et al.. (2003). P2 receptors in satellite glial cells in trigeminal ganglia of mice. Neuroscience. 120(4). 969–977. 89 indexed citations
10.
Guo, Wei, Shiping Zou, Michael Tal, & Ke Ren. (2002). Activation of spinal kainate receptors after inflammation: behavioral hyperalgesia and subunit gene expression. European Journal of Pharmacology. 452(3). 309–318. 27 indexed citations
11.
Guo, Wei, Shiping Zou, Yun Guan, et al.. (2002). Tyrosine Phosphorylation of the NR2B Subunit of the NMDA Receptor in the Spinal Cord during the Development and Maintenance of Inflammatory Hyperalgesia. Journal of Neuroscience. 22(14). 6208–6217. 205 indexed citations
12.
Tal, Michael, Patrick D. Wall, & Marshall Devor. (1999). Myelinated afferent fiber types that become spontaneously active and mechanosensitive following nerve transection in the rat. Brain Research. 824(2). 218–223. 68 indexed citations
13.
Naim, Michael, et al.. (1998). Cellular Signal Transduction of Sweetener-Induced Taste. Advances in food and nutrition research. 42. 211–243. 4 indexed citations
14.
Tal, Michael & Eli Eliav. (1996). Abnormal discharge originates at the site of nerve injury in experimental constriction neuropathy (CCI) in the rat. Pain. 64(3). 511–518. 123 indexed citations
15.
Tal, Michael. (1996). A novel antioxidant alleviates heat hyperalgesia in rats with an experimental painful peripheral neuropathy. Neuroreport. 7(8). 1382–1384. 111 indexed citations
16.
Guthmann, Marcelo D., Michael Tal, & Israel Pecht. (1995). A New Member of the C-Type Lectin Family Is a Modulator of the Mast Cell Secretory Response. International Archives of Allergy and Immunology. 107(1-3). 82–86. 40 indexed citations
17.
Tal, Michael, Frida Shimron, & Gad Yagil. (1994). Unwound Regions in Yeast Centromere IV DNA. Journal of Molecular Biology. 243(2). 179–189. 16 indexed citations
18.
Efrat, Shimon, Michael Tal, & Harvey F. Lodish. (1994). The pancreatic β-cell glucose sensor. Trends in Biochemical Sciences. 19(12). 535–538. 81 indexed citations
19.
Tal, Michael, Barbara B. Kahn, & Harvey F. Lodish. (1991). Expression of the Low Km GLUT-1 Glucose Transporter Is Turned on in Perivenous Hepatocytes of Insulin- Deficient Diabetic Rats*. Endocrinology. 129(4). 1933–1941. 21 indexed citations
20.
Tal, Michael, C. Richter King, M H Kraus, et al.. (1987). Human HER2 ( neu ) Promoter: Evidence for Multiple Mechanisms for Transcriptional Initiation. Molecular and Cellular Biology. 7(7). 2597–2601. 29 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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