Maryam Hemmati

954 total citations
26 papers, 803 citations indexed

About

Maryam Hemmati is a scholar working on Analytical Chemistry, Electrochemistry and Bioengineering. According to data from OpenAlex, Maryam Hemmati has authored 26 papers receiving a total of 803 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Analytical Chemistry, 9 papers in Electrochemistry and 6 papers in Bioengineering. Recurrent topics in Maryam Hemmati's work include Analytical chemistry methods development (17 papers), Electrochemical Analysis and Applications (9 papers) and Analytical Chemistry and Sensors (6 papers). Maryam Hemmati is often cited by papers focused on Analytical chemistry methods development (17 papers), Electrochemical Analysis and Applications (9 papers) and Analytical Chemistry and Sensors (6 papers). Maryam Hemmati collaborates with scholars based in Iran, Belgium and United States. Maryam Hemmati's co-authors include Maryam Rajabi, Alireza Asghari, Mohammad Bazregar, Seyed Farid Ghannadpour, Yadollah Yamini, Mohammad Reza Jalilvand, Ahmad Hosseini–Bandegharaei, Seyed Hamid Reza Pasandideh, Marianne Fillet and Anne‐Catherine Servais and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Cleaner Production and Food Chemistry.

In The Last Decade

Maryam Hemmati

26 papers receiving 793 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Maryam Hemmati Iran 16 514 239 161 96 91 26 803
Hameed Ul Haq Poland 15 341 0.7× 183 0.8× 69 0.4× 222 2.3× 93 1.0× 36 700
Natalia Szczepańska Poland 12 769 1.5× 169 0.7× 472 2.9× 52 0.5× 208 2.3× 20 1.3k
Mohammad Reza Hadjmohammadi Iran 12 273 0.5× 101 0.4× 149 0.9× 82 0.9× 61 0.7× 21 452
Fatemeh Kardani Iran 12 381 0.7× 76 0.3× 214 1.3× 53 0.6× 125 1.4× 29 631
Marzieh Sadeghi Iran 20 366 0.7× 247 1.0× 235 1.5× 26 0.3× 126 1.4× 35 1.1k
S. Maryam Sajjadi Iran 16 294 0.6× 168 0.7× 74 0.5× 28 0.3× 84 0.9× 42 588
Ghadamali Bagherian Iran 20 344 0.7× 209 0.9× 153 1.0× 20 0.2× 100 1.1× 55 930
Farid Shakerian Iran 12 272 0.5× 141 0.6× 48 0.3× 35 0.4× 139 1.5× 20 686
Vida Vičkačkaitė Lithuania 15 451 0.9× 123 0.5× 262 1.6× 46 0.5× 185 2.0× 37 726
Fatemeh Rezaei Iran 20 559 1.1× 180 0.8× 269 1.7× 20 0.2× 230 2.5× 42 1.3k

Countries citing papers authored by Maryam Hemmati

Since Specialization
Citations

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

Fields of papers citing papers by Maryam Hemmati

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maryam Hemmati

This figure shows the co-authorship network connecting the top 25 collaborators of Maryam Hemmati. A scholar is included among the top collaborators of Maryam Hemmati 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 Maryam Hemmati. Maryam Hemmati 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.
Hemmati, Maryam, Verena Karolin Mittermeier-Kleßinger, Olivia I. Coleman, et al.. (2024). Development of a Global Metabo-Lipid-Prote-omics Workflow to Compare Healthy Proximal and Distal Colonic Epithelium in Mice. Journal of Proteome Research. 23(8). 3124–3140. 1 indexed citations
2.
Hemmati, Maryam, et al.. (2021). Blood Microsampling to Monitor Metabolic Profiles During Physical Exercise. Frontiers in Molecular Biosciences. 8. 681400–681400. 11 indexed citations
3.
Hemmati, Maryam, et al.. (2020). Benefits of microsampling and microextraction for metabolomics studies. TrAC Trends in Analytical Chemistry. 127. 115899–115899. 18 indexed citations
6.
Hemmati, Maryam & Seyed Hamid Reza Pasandideh. (2020). A bi-objective supplier location, supplier selection and order allocation problem with green constraints: scenario-based approach. Journal of Ambient Intelligence and Humanized Computing. 12(8). 8205–8228. 14 indexed citations
7.
Hemmati, Maryam, et al.. (2019). Removal of Cephalexin from Aqueous Solutions by Activated Carbon Adsorbent. SHILAP Revista de lepidopterología. 1 indexed citations
11.
Hemmati, Maryam, Maryam Rajabi, & Alireza Asghari. (2018). Magnetic nanoparticle based solid-phase extraction of heavy metal ions: A review on recent advances. Microchimica Acta. 185(3). 160–160. 180 indexed citations
14.
18.
Hemmati, Maryam, Alireza Asghari, Mehrorang Ghaedi, & Maryam Rajabi. (2017). Chemometric assisted sonochemical dyes adsorption in ternary solutions onto Cu nanowires loaded on activated carbon. Journal of the Taiwan Institute of Chemical Engineers. 76. 115–125. 10 indexed citations
19.
Hemmati, Maryam, Alireza Asghari, Mohammad Bazregar, & Maryam Rajabi. (2016). Rapid determination of some beta-blockers in complicated matrices by tandem dispersive liquid-liquid microextraction followed by high performance liquid chromatography. Analytical and Bioanalytical Chemistry. 408(28). 8163–8176. 24 indexed citations
20.
Bazregar, Mohammad, et al.. (2016). Tandem air-agitated liquid–liquid microextraction as an efficient method for determination of acidic drugs in complicated matrices. Analytica Chimica Acta. 917. 44–52. 61 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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