Kobra Naseri

40 total papers · 3.3k total citations
26 papers, 2.2k citations indexed

About

Kobra Naseri is a scholar working on Health, Toxicology and Mutagenesis, Physiology and Plant Science. According to data from OpenAlex, Kobra Naseri has authored 26 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Health, Toxicology and Mutagenesis, 6 papers in Physiology and 5 papers in Plant Science. Recurrent topics in Kobra Naseri's work include Heavy Metal Exposure and Toxicity (4 papers), Pain Mechanisms and Treatments (4 papers) and Pesticide Exposure and Toxicity (4 papers). Kobra Naseri is often cited by papers focused on Heavy Metal Exposure and Toxicity (4 papers), Pain Mechanisms and Treatments (4 papers) and Pesticide Exposure and Toxicity (4 papers). Kobra Naseri collaborates with scholars based in Iran, United States and United Kingdom. Kobra Naseri's co-authors include Mahmood Sadeghi, Mahdi Balali‐Mood, Zoya Tahergorabi, Mohammad Reza Khazdair, Tayebeh Zeinali, Fatemeh Salmani, Ali Motaharian, Mohammad Hosseini, Pejvak Khaki and Shaban Rahimi and has published in prestigious journals such as Scientific Reports, Analytica Chimica Acta and Sensors and Actuators B Chemical.

In The Last Decade

Kobra Naseri

25 papers receiving 2.1k citations

Hit Papers

Toxic Mechanisms of Five ... 2021 2026 2022 2024 2021 500 1000 1.5k

Author Peers

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

Author Last Decade Papers Cites
Kobra Naseri 856 666 321 228 215 26 2.2k
Zoya Tahergorabi 765 0.9× 583 0.9× 301 0.9× 155 0.7× 216 1.0× 29 2.2k
Mahmood Sadeghi 857 1.0× 628 0.9× 327 1.0× 166 0.7× 223 1.0× 53 2.7k
Ab Latif Wani 637 0.7× 407 0.6× 185 0.6× 137 0.6× 241 1.1× 21 1.7k
Gagan D. Flora 1.0k 1.2× 477 0.7× 192 0.6× 157 0.7× 397 1.8× 26 2.8k
Anjum Ara 603 0.7× 388 0.6× 178 0.6× 134 0.6× 215 1.0× 16 1.7k
Mrinal Kumar Sengupta 1.4k 1.6× 879 1.3× 428 1.3× 170 0.7× 221 1.0× 33 2.8k
Zhen Zhang 821 1.0× 665 1.0× 381 1.2× 86 0.4× 190 0.9× 48 2.0k
Amjad Shraim 613 0.7× 489 0.7× 199 0.6× 228 1.0× 140 0.7× 37 1.8k
Sharon Wilbur 1.0k 1.2× 445 0.7× 172 0.5× 120 0.5× 130 0.6× 31 1.9k
Stefanos Dailianis 1.2k 1.4× 809 1.2× 245 0.8× 106 0.5× 123 0.6× 70 2.4k

Countries citing papers authored by Kobra Naseri

Since Specialization
Citations

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

Fields of papers citing papers by Kobra Naseri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kobra Naseri

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

All Works

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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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