Mohammed Naeemuddin

475 citations
5 papers · 269 · h-index 5

Impact in

Papers in

    • Mitochondrial Function and Pathology 2
    • Heat shock proteins 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 269 citations

Peers

Mohammed Naeemuddin
Comparison fields: 5 of 65
  • Aging 17
  • Clinical Biochemistry 19
  • Molecular Biology 159
  • Physiology 47
  • Genetics 47
Replace Lorena Fernández-Mosquera with:
Lorena Fernández-Mosquera Germany
Mayuki Miyazaki Japan
Dongjing Yan China
Umut Cagin France
Marion Robin France
Ming Ge United States
Viridiana Yazmín González‐Puertos Mexico
Katarzyna Szczepańska Poland
Paul Grosu United States
Máté Katona United States
Mohammed Naeemuddin relative to Lorena Fernández-Mosquera Germany Lorena Fernández-Mosquera's profile →
Citations per field
00.5×3.4×
Lorena Fernández-Mosquera · 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 269 indexed citations. Recurring topics across this work include Genetic diversity and population structure (2 papers), Mitochondrial Function and Pathology (2 papers), Pharmacogenetics and Drug Metabolism (1 paper), Adipose Tissue and Metabolism (1 paper), Genetic Mapping and Diversity in Plants and Animals (1 paper), Heat shock proteins research (1 paper), Biochemical Acid Research Studies (1 paper) and Genetic and phenotypic traits in livestock (1 paper). The work is most often cited by research in Aging (17 citations), Clinical Biochemistry (19 citations), Molecular Biology (159 citations), Physiology (47 citations) and Genetics (47 citations). Mohammed Naeemuddin has collaborated with scholars based in United States and Japan. Frequent co-authors include Sailaja Elchuri, Ting‐Ting Huang, Heather M. Kozy, Charles J. Epstein, Elaine J. Carlson, Mutsuo Yamaguchi, William H. Robinson, Orr Sharpe, Roger A. Hoskins and Greg Gibson. Their work appears in journals such as PROTEOMICS, Free Radical Biology and Medicine, Human Molecular Genetics, Journal of Experimental Zoology and Genome Research.

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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