S. K. Hekmatyar

906 total citations
34 papers, 716 citations indexed

About

S. K. Hekmatyar is a scholar working on Radiology, Nuclear Medicine and Imaging, Materials Chemistry and Spectroscopy. According to data from OpenAlex, S. K. Hekmatyar has authored 34 papers receiving a total of 716 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Radiology, Nuclear Medicine and Imaging, 11 papers in Materials Chemistry and 6 papers in Spectroscopy. Recurrent topics in S. K. Hekmatyar's work include Advanced MRI Techniques and Applications (15 papers), Lanthanide and Transition Metal Complexes (7 papers) and MRI in cancer diagnosis (5 papers). S. K. Hekmatyar is often cited by papers focused on Advanced MRI Techniques and Applications (15 papers), Lanthanide and Transition Metal Complexes (7 papers) and MRI in cancer diagnosis (5 papers). S. K. Hekmatyar collaborates with scholars based in United States, India and France. S. K. Hekmatyar's co-authors include Navin Bansal, Andriy M. Babsky, A. S. Brar, S. Kubilay Pakin, Risto A. Kauppinen, Saritha Krishna, Celia A. Dodd, Nikolay M. Filipov, James H. Prestegard and John Glushka and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Neuroscience and Hepatology.

In The Last Decade

S. K. Hekmatyar

34 papers receiving 708 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
S. K. Hekmatyar United States 18 278 148 130 105 98 34 716
Navin Bansal United States 25 663 2.4× 264 1.8× 186 1.4× 267 2.5× 123 1.3× 45 1.2k
Oliver Štrbák Slovakia 13 281 1.0× 99 0.7× 181 1.4× 99 0.9× 36 0.4× 38 797
James R. Larkin United Kingdom 17 200 0.7× 132 0.9× 293 2.3× 215 2.0× 53 0.5× 42 1.4k
Bei Ding China 21 412 1.5× 154 1.0× 336 2.6× 54 0.5× 28 0.3× 57 1.3k
Francesco Blasi United States 19 310 1.1× 260 1.8× 161 1.2× 26 0.2× 28 0.3× 37 1.1k
Yasuhiko Iida Japan 23 400 1.4× 201 1.4× 474 3.6× 75 0.7× 32 0.3× 61 1.6k
Andor Veltien Netherlands 20 306 1.1× 150 1.0× 218 1.7× 71 0.7× 36 0.4× 50 1.1k
Yimin Shen United States 21 378 1.4× 254 1.7× 297 2.3× 51 0.5× 34 0.3× 77 1.4k
Emmanuelle Canet‐Soulas France 21 317 1.1× 207 1.4× 179 1.4× 81 0.8× 13 0.1× 65 1.3k
Henry A. Sloviter United States 20 225 0.8× 101 0.7× 246 1.9× 67 0.6× 75 0.8× 67 1.3k

Countries citing papers authored by S. K. Hekmatyar

Since Specialization
Citations

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

Fields of papers citing papers by S. K. Hekmatyar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by S. K. Hekmatyar. 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 S. K. Hekmatyar. The network helps show where S. K. Hekmatyar may publish in the future.

Co-authorship network of co-authors of S. K. Hekmatyar

This figure shows the co-authorship network connecting the top 25 collaborators of S. K. Hekmatyar. A scholar is included among the top collaborators of S. K. Hekmatyar 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 S. K. Hekmatyar. S. K. Hekmatyar 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.
Jerome, Neil P., S. K. Hekmatyar, & Risto A. Kauppinen. (2014). Blood oxygenation level dependent, blood volume, and blood flow responses to carbogen and hypoxic hypoxia in 9L rat gliomas as measured by MRI. Journal of Magnetic Resonance Imaging. 39(1). 1 indexed citations
2.
Krishna, Saritha, Celia A. Dodd, S. K. Hekmatyar, & Nikolay M. Filipov. (2013). Brain deposition and neurotoxicity of manganese in adult mice exposed via the drinking water. Archives of Toxicology. 88(1). 47–64. 58 indexed citations
3.
Barb, Adam W., S. K. Hekmatyar, John Glushka, & James H. Prestegard. (2013). Probing alanine transaminase catalysis with hyperpolarized 13CD3-pyruvate. Journal of Magnetic Resonance. 228. 59–65. 27 indexed citations
4.
Hekmatyar, S. K., Neil P. Jerome, Juha‐Pekka Niskanen, et al.. (2012). Simultaneous BOLD fMRI and local field potential measurements during kainic acid–induced seizures. Epilepsia. 53(7). 1245–1253. 21 indexed citations
5.
Murad, Joana, Chelsea S. Place, Cong Ran, et al.. (2010). Inhibitor of DNA Binding 4 (ID4) Regulation of Adipocyte Differentiation and Adipose Tissue Formation in Mice. Journal of Biological Chemistry. 285(31). 24164–24173. 24 indexed citations
6.
Hekmatyar, S. K., Martin Wilson, Neil P. Jerome, et al.. (2010). 1H nuclear magnetic resonance spectroscopy characterisation of metabolic phenotypes in the medulloblastoma of the SMO transgenic mice. British Journal of Cancer. 103(8). 1297–1304. 13 indexed citations
7.
Khan, Nadeem, S. K. Hekmatyar, Huagang Hou, et al.. (2010). Effect of Hyperoxygenation on Tissue pO2 and Its Effect on Radiotherapeutic Efficacy of Orthotopic F98 Gliomas. International Journal of Radiation Oncology*Biology*Physics. 78(4). 1193–1200. 19 indexed citations
8.
Yip-Schneider, Michele, Huangbing Wu, S. K. Hekmatyar, et al.. (2009). Targeting mitogen‐activated protein kinase kinase with the inhibitor PD0325901 decreases hepatocellular carcinoma growth in vitro and in mouse model systems†. Hepatology. 51(4). 1218–1225. 28 indexed citations
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James, J.R., Andriy M. Babsky, S. K. Hekmatyar, et al.. (2009). Fat and Water 1H MRI to Investigate Effects of Leptin in Obese Mice. Obesity. 17(11). 2089–2093. 8 indexed citations
11.
Vidal, Rubén, Leticia Miravalle, Xiaoying Gao, et al.. (2008). Expression of a Mutant Form of the Ferritin Light Chain Gene Induces Neurodegeneration and Iron Overload in Transgenic Mice. Journal of Neuroscience. 28(1). 60–67. 88 indexed citations
12.
Babsky, Andriy M., et al.. (2007). Monitoring chemotherapeutic response in RIF-1 tumors by single-quantum and triple-quantum-filtered 23Na MRI, 1H diffusion-weighted MRI and PET imaging. Magnetic Resonance Imaging. 25(7). 1015–1023. 22 indexed citations
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Babsky, Andriy M., et al.. (2005). Heat-induced changes in intracellular Na+, pH and bioenergetic status in superfused RIF-1 tumour cells determined by23Na and31P magnetic resonance spectroscopy. International Journal of Hyperthermia. 21(2). 141–158. 7 indexed citations
16.
Babsky, Andriy M., et al.. (2005). Application of 23Na MRI to Monitor Chemotherapeutic Response in RIF-1 Tumors. Neoplasia. 7(7). 658–666. 25 indexed citations
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18.
Rusyniak, Daniel E., S. K. Hekmatyar, Edward Mills, et al.. (2005). The Role of Mitochondrial Uncoupling in 3,4-Methylenedioxymethamphetamine-Mediated Skeletal Muscle Hyperthermia and Rhabdomyolysis. Journal of Pharmacology and Experimental Therapeutics. 313(2). 629–639. 28 indexed citations
19.
Babsky, Andriy M., S. K. Hekmatyar, Suzanne Wehrli, David Nelson, & Navin Bansal. (2004). Effects of temperature on intracellular sodium, pH and cellular energy status in RIF‐1 tumor cells. NMR in Biomedicine. 17(1). 33–42. 7 indexed citations
20.
Hekmatyar, S. K., et al.. (2002). Non-invasive magnetic resonance thermometry using thulium-1,4,7,10-tetraazacyclododecane-1,4,7,10-tetraacetate (TmDOTA-). International Journal of Hyperthermia. 18(3). 165–179. 36 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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