Saeid Asadpour

773 citations
25 papers · 637 indexed · h-index 15
Topics
Computational Drug Discovery Methods (7 papers)Analytical Chemistry and Chromatography (4 papers)Analytical chemistry methods development (4 papers)
Partner nations
IranMalaysiaCanada

In The Last Decade

Saeid Asadpour

25 papers receiving 630 citations

Peers

Saeid Asadpour
Comparison fields: 5 of 93
  • Analytical Chemistry 175
  • Materials Chemistry 143
  • Organic Chemistry 111
  • Molecular Biology 107
  • Electrochemistry 103
Replace Syed Salman Shafqat with:
Syed Salman Shafqat Pakistan
Guangming Zhou China
Veysi Okumuş Türkiye
Maryam Shanehsaz Iran
Mateusz Marchel Portugal
Zhang Xin-shen China
Esmael Sanchooli Iran
Tahereh Momeni Isfahani Iran
Ming Gao China
Elaheh Konoz Iran
Saeid Asadpour relative to Syed Salman Shafqat Pakistan Syed Salman Shafqat's profile →
Citations per field
00.5×10×20×29×
Syed Salman Shafqat · 1×
Citations per year

Countries citing papers authored by Saeid Asadpour

Since Specialization
Citations

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

Fields of papers citing papers by Saeid Asadpour

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Saeid Asadpour

This figure shows the co-authorship network connecting the top 25 collaborators of Saeid Asadpour. A scholar is included among the top collaborators of Saeid Asadpour 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 Saeid Asadpour. Saeid Asadpour 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
#WorkIndexed citations
1 2
2 1
3 19
4 28
5 11
6 42
7 5
8 33
9 2
10 85
11 28
12
Application of MLR, PLS and Artificial Neural Networks for Prediction of GC/ECD Retention Times of Chlorinated Pesticides, Herbicides, and Organohalides
1
13 83
14 26
15 5
16 36
17
HIGH-PERFORMANCE LIQUID CHROMATOGRAPHIC ENANTIOSEPARATION OF DRUGS CONTAINING MULTIPLE CHIRAL CENTERS ON CHIRAL STATIONARY PHASES
10
18 37
19 14
20 51

About Saeid Asadpour

Saeid Asadpour is a scholar working on Analytical Chemistry, Applied Microbiology and Biotechnology and Electrochemistry, having authored 25 papers that have together received 637 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (7 papers), Analytical Chemistry and Chromatography (4 papers) and Analytical chemistry methods development (4 papers). The work is most often cited by research in Analytical Chemistry (175 citations), Electrochemistry (103 citations) and Water Science and Technology (100 citations). Saeid Asadpour has collaborated with scholars based in Iran, Malaysia and Canada. Frequent co-authors include Jahan B. Ghasemi, Sadegh Farhadian, Hedayat Haddadi, Mahmoud Chamsaz, Mohammad Eftekhari, Zahra Aramesh‐Boroujeni, Mina Adibi, Azizeh Abdolmaleki, Shohreh Jahani and Arash Asfaram. Their work appears in journals such as Journal of Hazardous Materials, Journal of Cleaner Production and Scientific Reports.

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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