Mohammad Pazhang

664 citations
38 papers · 479 · h-index 13

Impact in

Papers in

    • Enzyme Catalysis and Immobilization 10
    • Biochemical and Molecular Research 5
    • Protein Structure and Dynamics 3
    • Enzyme Production and Characterization 8

Mohammad Pazhang

35 papers receiving 471 citations

Peers

Mohammad Pazhang
Comparison fields: 5 of 90
  • Biotechnology 76
  • Reproductive Medicine 41
  • Biomaterials 54
  • Molecular Biology 270
  • Nephrology 23
Replace Bahman Khalvati with:
Bahman Khalvati Iran
María del Pilar Ramos‐Godínez Mexico
Rohini Singh India
Masaru Ishihara Japan
Danyang Liang China
Yanxian Feng China
Uma Addepally India
Hironori Mori Japan
Jui-Yu Wu Taiwan
Mohammad Pazhang relative to Bahman Khalvati Iran Bahman Khalvati's profile →
Citations per field
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Bahman Khalvati · 1×
Citations per year

Countries citing papers authored by Mohammad Pazhang

Since Specialization
Citations

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

Fields of papers citing papers by Mohammad Pazhang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201880
2 202048
3 201539
4 200637
5 202025
6 201723
7 201021
8 202318
9 201515
10 201915
11 202214
12 202014
13 201912
14 201911
15 201810
16 202410
17 202410
18 20109
19 20218
20 20237

About Mohammad Pazhang

Mohammad Pazhang is a scholar working on Molecular Biology, Biotechnology, Biomedical Engineering, Materials Chemistry and Plant Science, having authored 38 papers that have together received 479 indexed citations. Recurring topics across this work include Enzyme Catalysis and Immobilization (10 papers), Biofuel production and bioconversion (9 papers), Enzyme Production and Characterization (8 papers), Enzyme Structure and Function (6 papers), Biochemical and Molecular Research (5 papers), Electrochemical sensors and biosensors (3 papers), Protein Structure and Dynamics (3 papers) and Reproductive Biology and Fertility (3 papers). The work is most often cited by research in Biotechnology (76 citations), Reproductive Medicine (41 citations), Biomaterials (54 citations), Molecular Biology (270 citations) and Nephrology (23 citations). Mohammad Pazhang has collaborated with scholars based in Iran, United States and Netherlands. Frequent co-authors include Abdolreza Abri, Faramarz Mehrnejad, Nader Chaparzadeh, Khosro Khajeh, Hanieh Falahati, Bijan Ranjbar, Ali Reza Amani‐Ghadim, Saman Hosseinkhani, Mohammad Nouri and Reza Rahbarghazi‬. Their work appears in journals such as International Journal of Biological Macromolecules, Scientific Reports, BMB Reports, Process Biochemistry and Applied Biochemistry and Biotechnology.

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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