Mohammad Talebi

1.4k citations
34 papers · 1.2k · h-index 22

Impact in

    • Analytical Chemistry and Chromatography
    • Chromatography in Natural Products
    • Analytical chemistry methods development

Papers in

Mohammad Talebi

33 papers receiving 1.2k citations

Peers

Mohammad Talebi
Comparison fields: 5 of 98
  • Spectroscopy 669
  • Analytical Chemistry 356
  • Computational Theory and Mathematics 237
  • Biomedical Engineering 443
  • Biochemistry 34
Replace Krzysztof Goryński with:
Krzysztof Goryński Poland
Maria Anna Maggi Italy
Petar Žuvela Poland
Bob W.J. Pirok Netherlands
Min He China
Caiying Wu China
Eslam Pourbasheer Iran
Jian‐Liang Zhou China
Tao Shi China
Yada Nolvachai Australia
Mohammad Talebi relative to Krzysztof Goryński Poland Krzysztof Goryński's profile →
Citations per field
00.5×4.5×
Krzysztof Goryński · 1×
Citations per year

Countries citing papers authored by Mohammad Talebi

Since Specialization
Citations

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

Fields of papers citing papers by Mohammad Talebi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Mohammad Talebi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Mohammad Talebi Line = papers co-authored together Mohammad Talebi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012118
2 201487
3 201781
4 201667
5 201161
6 201356
7 201854
8 200453
9 201647
10 201647
11 201545
12 201740
13 200540
14 201839
15 201938
16 200736
17 200936
18 201633
19 201730
20 201629

About Mohammad Talebi

Mohammad Talebi is a scholar working on Spectroscopy, Analytical Chemistry, Computational Theory and Mathematics, Biomedical Engineering and Molecular Biology, having authored 34 papers that have together received 1.2k indexed citations. Recurring topics across this work include Analytical Chemistry and Chromatography (23 papers), Computational Drug Discovery Methods (11 papers), Chromatography in Natural Products (10 papers), Microfluidic and Capillary Electrophoresis Applications (9 papers), Innovative Microfluidic and Catalytic Techniques Innovation (4 papers), Protein purification and stability (4 papers), Advanced Chemical Sensor Technologies (3 papers) and Spectroscopy and Chemometric Analyses (3 papers). The work is most often cited by research in Spectroscopy (669 citations), Analytical Chemistry (356 citations), Computational Theory and Mathematics (237 citations), Biomedical Engineering (443 citations) and Biochemistry (34 citations). Mohammad Talebi has collaborated with scholars based in Australia, United States and United Kingdom. Frequent co-authors include Paul R. Haddad, Roman Szücs, Christopher A. Pohl, John W. Dolan, Ruth Amos, Emily F. Hilder, Maryam Taraji, R. Dario Arrua, Tim Causon and Ali Rassouli. Their work appears in journals such as Journal of Chromatography A, Analytical Chemistry, Analytica Chimica Acta, Journal of Separation Science and Phytochemical Analysis.

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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