Morteza Razavi

882 citations
18 papers · 597 · h-index 14

Impact in

    • Advanced Proteomics Techniques and Applications
    • Mass Spectrometry Techniques and Applications
  • Microbiology top 10%

Papers in

    • Advanced Proteomics Techniques and Applications 8
    • Mass Spectrometry Techniques and Applications 5
    • Glycosylation and Glycoproteins Research 1

Morteza Razavi

18 papers receiving 572 citations

Peers

Morteza Razavi
Comparison fields: 5 of 86
  • Spectroscopy 311
  • Microbiology 39
  • Molecular Biology 312
  • Immunology 68
  • Radiology, Nuclear Medicine and Imaging 53
Replace Hans‐Dieter Zucht with:
Hans‐Dieter Zucht Germany
Chris Hughes United Kingdom
Richard K. Niles United States
Olga Friese United States
Sofia Waldemarson Sweden
Catherine G. Zimmermann‐Ivol Switzerland
Diana M. Smith United States
Marijana Ručević United States
Michael Z. Wang United States
Lauren M. Dimapasoc United States
Morteza Razavi relative to Hans‐Dieter Zucht Germany Hans‐Dieter Zucht's profile →
Citations per field
00.5×2.7×
Hans‐Dieter Zucht · 1×
Citations per year

Countries citing papers authored by Morteza Razavi

Since Specialization
Citations

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

Fields of papers citing papers by Morteza Razavi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Morteza Razavi, 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 Morteza Razavi Line = papers co-authored together Morteza Razavi links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1 2011113
2 201283
3 200954
4 201249
5 201644
6 201642
7 201340
8 201533
9 201829
10 201023
11 202417
12 202217
13 202016
14 202313
15 201111
16 20176
17 20155
18
The investigation of the long-term effects of aquatic extraction of Cannabis sativa on spatial memory consolidation in Rats
20102

About Morteza Razavi

Morteza Razavi is a scholar working on Spectroscopy, Molecular Biology, Epidemiology, Infectious Diseases and Endocrinology, Diabetes and Metabolism, having authored 18 papers that have together received 597 indexed citations. Recurring topics across this work include Advanced Proteomics Techniques and Applications (8 papers), Mass Spectrometry Techniques and Applications (5 papers), Biosensors and Analytical Detection (2 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (2 papers), Trypanosoma species research and implications (1 paper), Glycosylation and Glycoproteins Research (1 paper), Noise Effects and Management (1 paper) and Neuroscience and Neuropharmacology Research (1 paper). The work is most often cited by research in Spectroscopy (311 citations), Microbiology (39 citations), Molecular Biology (312 citations), Immunology (68 citations) and Radiology, Nuclear Medicine and Imaging (53 citations). Morteza Razavi has collaborated with scholars based in United States, Canada and Iran. Frequent co-authors include Terry W. Pearson, N. Leigh Anderson, Matthew E. Pope, Richard Yip, Gary Kruppa, William A. LaMarr, Christine Miller, Lauren E. Frick, Detlev Suckau and Rainer Paape. Their work appears in journals such as Clinical Chemistry, Bioanalysis, Journal of Proteome Research, Nature Communications and Molecular & Cellular Proteomics.

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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