Mohammad M. Uddin

407 citations
15 papers · 331 · h-index 11

Impact in

    • Cancer Immunotherapy and Biomarkers
    • Cytokine Signaling Pathways and Interactions
    • Chemokine receptors and signaling
    • Ovarian cancer diagnosis and treatment

Papers in

    • Chemokine receptors and signaling 4
    • Cancer Immunotherapy and Biomarkers 3
    • Cytokine Signaling Pathways and Interactions 3
    • NF-κB Signaling Pathways 2
    • Cancer, Hypoxia, and Metabolism 1

Mohammad M. Uddin

15 papers receiving 328 citations

Peers

Mohammad M. Uddin
Comparison fields: 5 of 40
  • Oncology 100
  • Reproductive Medicine 32
  • Cancer Research 41
  • Molecular Biology 148
  • Genetics 8
Replace Samuel H. Lai with:
Samuel H. Lai United States
Karen Yuan United States
Jennifer Carlson Aske United States
Andrew T. Baker United States
Michelle Stroud
Jianfang Zeng China
Linjuan Xu China
Silvia Schmidtova Slovakia
Lucy A. Young United Kingdom
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Citations per field
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Samuel H. Lai · 1×
Citations per year

Countries citing papers authored by Mohammad M. Uddin

Since Specialization
Citations

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

Fields of papers citing papers by Mohammad M. Uddin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 12 scholars most cited alongside Mohammad M. Uddin, 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 M. Uddin Line = papers co-authored together Mohammad M. Uddin links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1 201948
2 201747
3 201845
4 201741
5 202233
6 202024
7 201718
8 202117
9 201816
10 201412
11 202011
12 20238
13 20206
14 20204
15 20201

About Mohammad M. Uddin

Mohammad M. Uddin is a scholar working on Oncology, Cancer Research, Molecular Biology, Reproductive Medicine and Radiology, Nuclear Medicine and Imaging, having authored 15 papers that have together received 331 indexed citations. Recurring topics across this work include Chemokine receptors and signaling (4 papers), Cancer Immunotherapy and Biomarkers (3 papers), Histone Deacetylase Inhibitors Research (3 papers), Cytokine Signaling Pathways and Interactions (3 papers), NF-κB Signaling Pathways (2 papers), Cancer, Hypoxia, and Metabolism (1 paper), Ubiquitin and proteasome pathways (1 paper) and Radiopharmaceutical Chemistry and Applications (1 paper). The work is most often cited by research in Oncology (100 citations), Reproductive Medicine (32 citations), Cancer Research (41 citations), Molecular Biology (148 citations) and Genetics (8 citations). Mohammad M. Uddin has collaborated with scholars based in United States. Frequent co-authors include Ivana Vancurova, Yue Zou, Aleš Vančura, Himavanth Reddy Gatla, Pengli Bu, John F. Gerecitano, Gabriela Chiosis, Mary L. Alpaugh, Mohammad Farooq and Adriana Dionigi Corben. Their work appears in journals such as Journal of Biological Chemistry, Clinical Cancer Research, Cellular Signalling, Oncotarget and PLoS ONE.

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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