M. Šako

24.2k total citations
74 papers, 1.7k citations indexed

About

M. Šako is a scholar working on Astronomy and Astrophysics, Nuclear and High Energy Physics and Hepatology. According to data from OpenAlex, M. Šako has authored 74 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Astronomy and Astrophysics, 23 papers in Nuclear and High Energy Physics and 11 papers in Hepatology. Recurrent topics in M. Šako's work include Gamma-ray bursts and supernovae (33 papers), Astrophysical Phenomena and Observations (26 papers) and Astrophysics and Cosmic Phenomena (21 papers). M. Šako is often cited by papers focused on Gamma-ray bursts and supernovae (33 papers), Astrophysical Phenomena and Observations (26 papers) and Astrophysics and Cosmic Phenomena (21 papers). M. Šako collaborates with scholars based in United States, United Kingdom and Japan. M. Šako's co-authors include S. M. Kahn, J. S. Kaastra, D. A. Liedahl, G. Branduardi‐Raymont, A. C. Brinkman, Ehud Behar, F. Paerels, R. C. Nichol, M. Smith and J. Marriner and has published in prestigious journals such as Nature, The Astrophysical Journal and Annals of Surgery.

In The Last Decade

M. Šako

68 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
M. Šako United States 26 1.4k 531 174 120 92 74 1.7k
J. Fabregat Spain 24 1.6k 1.1× 162 0.3× 38 0.2× 180 1.5× 9 0.1× 117 1.7k
F. Pacini Italy 23 977 0.7× 425 0.8× 94 0.5× 23 0.2× 24 0.3× 85 2.3k
A. Robinson United States 23 1.1k 0.7× 625 1.2× 162 0.9× 160 1.3× 224 2.4× 102 1.8k
Philippe Laurent France 21 1.7k 1.2× 994 1.9× 144 0.8× 31 0.3× 195 2.1× 127 2.2k
Norbert S. Schulz United States 32 2.7k 1.9× 867 1.6× 243 1.4× 32 0.3× 188 2.0× 134 3.0k
Yuichiro Sekiguchi Japan 32 3.4k 2.4× 1.1k 2.2× 120 0.7× 39 0.3× 20 0.2× 76 3.7k
A. Scholz United Kingdom 32 2.1k 1.5× 110 0.2× 476 2.7× 404 3.4× 5 0.1× 134 2.9k
Kyoko Matsushita Japan 29 2.0k 1.4× 441 0.8× 58 0.3× 311 2.6× 41 0.4× 92 2.2k
Martin Krause Germany 31 2.3k 1.6× 1.2k 2.3× 51 0.3× 283 2.4× 34 0.4× 102 2.7k
Mats Holmström Sweden 36 3.3k 2.3× 46 0.1× 99 0.6× 40 0.3× 110 1.2× 152 3.5k

Countries citing papers authored by M. Šako

Since Specialization
Citations

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

Fields of papers citing papers by M. Šako

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. Šako

This figure shows the co-authorship network connecting the top 25 collaborators of M. Šako. A scholar is included among the top collaborators of M. Šako 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 M. Šako. M. Šako 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
1.
Šako, M., et al.. (2025). Case Report: Free fibula flap for post-oncologic mandibular reconstruction, first experience in Tirana. Frontiers in Oncology. 15. 1678310–1678310.
2.
Rose, Benjamin, M. Vincenzi, Rebekah Hounsell, et al.. (2025). The Hourglass Simulation: A Catalog for the Roman High-latitude Time-domain Core Community Survey. The Astrophysical Journal. 988(1). 65–65. 1 indexed citations
3.
Lee, J, M. Šako, R. Keßler, & Alex I. Malz. (2024). Astrometric Redshifts of Supernovae. The Astrophysical Journal. 977(2). 199–199.
4.
Bianco, Federica, et al.. (2023). What’s the Difference? The Potential for Convolutional Neural Networks for Transient Detection without Template Subtraction. The Astronomical Journal. 166(3). 115–115. 7 indexed citations
5.
Armstrong, P., Helen Qu, Dillon Brout, et al.. (2023). Probing the consistency of cosmological contours for supernova cosmology. Publications of the Astronomical Society of Australia. 40. 1 indexed citations
6.
Galbany, L., M. Smith, S. Duarte Puertas, et al.. (2021). Aperture-corrected spectroscopic type Ia supernova host galaxy properties. Astronomy and Astrophysics. 659. A89–A89. 5 indexed citations
7.
Perlmutter, S., Susana E. Deustua, Wendy L. Freedman, et al.. (2019). The Key Role of Supernova Spectrophotometry in the Next-Decade Dark Energy Science Program. Bulletin of the American Astronomical Society. 51(3). 494.
8.
Nicholl, M., César Briceño, P. S. Cowperthwaite, et al.. (2017). LIGO/Virgo G298048: Possible features in the spectrum of GW counterpart SSS17a. GRB Coordinates Network. 21585. 1. 1 indexed citations
9.
D’Andrea, C. B., R. Gupta, M. Šako, et al.. (2011). Open University of Cape Town (University of Cape Town). 26 indexed citations
10.
Steenbrugge, K. C., J. S. Kaastra, M. Šako, et al.. (2005). XMM-Newton observations of the heavily absorbed Seyfert 1 galaxy IC 4329A. Springer Link (Chiba Institute of Technology). 25 indexed citations
11.
Barcons, X., F. Paerels, F. J. Carrera, M. T. Ceballos, & M. Šako. (2005). Tentative detection of warm intervening gas towards PKS 0548-322 withXMM-Newton. Monthly Notices of the Royal Astronomical Society. 359(4). 1549–1556. 3 indexed citations
12.
Steenbrugge, K. C., J. S. Kaastra, A. J. Blustin, et al.. (2003). Chandra LETGS and XMM-Newton observations of NGC 4593. Astronomy and Astrophysics. 408(3). 921–928. 22 indexed citations
13.
Branduardi‐Raymont, G., M. Šako, S. M. Kahn, et al.. (2001). Soft X-ray emission lines from a relativistic accretion disk in MCG-6-30-15 and Mrk 766. Astronomy and Astrophysics. 365(1). L140–L145. 86 indexed citations
14.
Ku, Yonson, Takeshi Iwasaki, Takumi Fukumoto, et al.. (1998). Induction of Long-Term Remission in Advanced Hepatocellular Carcinoma With Percutaneous Isolated Liver Chemoperfusion. Annals of Surgery. 227(4). 519–526. 20 indexed citations
15.
Matsumoto, Shinichi, et al.. (1997). Simultaneous Thrombolysis of Superior Mesenteric Artery and Bilateral Renal Artery Thromboembolisms with Three Transfemoral Catheters. CardioVascular and Interventional Radiology. 20(5). 397–400. 9 indexed citations
16.
17.
Ku, Yonson, Takumi Fukumoto, Masahiro Tominaga, et al.. (1997). Single catheter technique of hepatic venous isolation and extracorporeal charcoal hemoperfusion for malignant liver tumors. The American Journal of Surgery. 173(2). 103–109. 21 indexed citations
18.
Ku, Yonson, Takumi Fukumoto, Takeshi Iwasaki, et al.. (1995). Clinical pilot study on high-dose intraarterial chemotherapy with direct hemoperfusion under hepatic venous isolation in patients with advanced hepatocellular carcinoma. Surgery. 117(5). 510–519. 25 indexed citations
19.
Fujii, Masahiko, Shuji Adachi, Tadafumi Shimizu, et al.. (1993). Interstitial lung disease in rheumatoid arthritis. Journal of Thoracic Imaging. 8(1). 54–62. 30 indexed citations
20.
Šako, M., Shuichi Adachi, Hirohito Watanabe, et al.. (1984). [Studies on selective embolo-hyperthermic therapy of tumors by using ferromagnetic particles].. PubMed. 19(9). 2168–71. 2 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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