Mohammed Naeemuddin

473 citations
5 papers · 266 · h-index 5

Impact in

Papers in

    • Mitochondrial Function and Pathology 2
    • Glutathione Transferases and Polymorphisms 1
    • ATP Synthase and ATPases Research 1
    • Genetic diversity and population structure 2
    • Genetic Mapping and Diversity in Plants and Animals 1
    • Genetic and phenotypic traits in livestock 1

Mohammed Naeemuddin

5 papers receiving 266 citations

Peers

Mohammed Naeemuddin
Comparison fields: 5 of 69
  • Aging 17
  • Clinical Biochemistry 20
  • Molecular Biology 169
  • Physiology 48
  • Genetics 49
Replace Dongjing Yan with:
Dongjing Yan China
Umut Cagin France
Lorena Fernández-Mosquera Germany
Rossana Foti Italy
Paul Grosu United States
Marco Porcu Italy
Masabumi Funakoshi Japan
Xiuying Duan China
JP Liu China
Nikolaos Charmpilas Greece
Mohammed Naeemuddin relative to Dongjing Yan China Dongjing Yan's profile →
Citations per field
00.5×2.9×
Dongjing Yan · 1×
Citations per year

Countries citing papers authored by Mohammed Naeemuddin

Since Specialization
Citations

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

Fields of papers citing papers by Mohammed Naeemuddin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 24 scholars most cited alongside Mohammed Naeemuddin, 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 Mohammed Naeemuddin Line = papers co-authored together Mohammed Naeemuddin links everyone, so they are left out of the graph.

All Works

About Mohammed Naeemuddin

Mohammed Naeemuddin is a scholar working on Molecular Biology, Genetics, Cellular and Molecular Neuroscience, Oncology and Pharmacology, having authored 5 papers that have together received 266 indexed citations. Recurring topics across this work include Mitochondrial Function and Pathology (2 papers), Genetic diversity and population structure (2 papers), Genetic Mapping and Diversity in Plants and Animals (1 paper), Genetic and phenotypic traits in livestock (1 paper), Drug Transport and Resistance Mechanisms (1 paper), Glutathione Transferases and Polymorphisms (1 paper), Adipose Tissue and Metabolism (1 paper) and ATP Synthase and ATPases Research (1 paper). The work is most often cited by research in Aging (17 citations), Clinical Biochemistry (20 citations), Molecular Biology (169 citations), Physiology (48 citations) and Genetics (49 citations). Mohammed Naeemuddin has collaborated with scholars based in United States and Japan. Frequent co-authors include Sailaja Elchuri, Ting‐Ting Huang, Elaine J. Carlson, Charles J. Epstein, Heather M. Kozy, Mutsuo Yamaguchi, Orr Sharpe, William H. Robinson, Roger A. Hoskins and Katherine C. Teeter. Their work appears in journals such as Genome Research, PROTEOMICS, Human Molecular Genetics, Free Radical Biology and Medicine and Journal of Experimental Zoology.

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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