Mohammad Shadid

531 citations
13 papers · 357 · h-index 9

Impact in

Papers in

    • Cancer therapeutics and mechanisms 2
    • Metabolomics and Mass Spectrometry Studies 2
    • CRISPR and Genetic Engineering 2
    • RNA and protein synthesis mechanisms 1
    • HER2/EGFR in Cancer Research 2

Mohammad Shadid

12 papers receiving 354 citations

Peers

Mohammad Shadid
Comparison fields: 5 of 71
  • Sensory Systems 75
  • Catalysis 37
  • Toxicology 11
  • Pharmaceutical Science 18
  • Molecular Biology 178
Replace Dan Ni with:
Dan Ni China
Theresa J. Roethke United States
Shelley K. Ballentine United States
Graham C. Bloomfield Switzerland
Heinz‐Werner Kleemann Germany
Alexander Usyatinsky United States
Camelia Baleanu Gogonea United States
Chunxia Liu China
Masood‐ul‐Hassan Javed United Kingdom
Christopher Trabbic United States
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Citations per field
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Dan Ni · 1×
Citations per year

Countries citing papers authored by Mohammad Shadid

Since Specialization
Citations

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

Fields of papers citing papers by Mohammad Shadid

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

13 of 13 papers shown
#Work
1 200899
2 202170
3 201556
4 200846
5 201720
6 200918
7 200516
8 202110
9 202010
10 20168
11 20242
12 20182
13 20250

About Mohammad Shadid

Mohammad Shadid is a scholar working on Molecular Biology, Oncology, Radiology, Nuclear Medicine and Imaging, Genetics and Infectious Diseases, having authored 13 papers that have together received 357 indexed citations. Recurring topics across this work include Cancer therapeutics and mechanisms (2 papers), Metabolomics and Mass Spectrometry Studies (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), CRISPR and Genetic Engineering (2 papers), HER2/EGFR in Cancer Research (2 papers), Virus-based gene therapy research (2 papers), Pharmacogenetics and Drug Metabolism (1 paper) and RNA and protein synthesis mechanisms (1 paper). The work is most often cited by research in Sensory Systems (75 citations), Catalysis (37 citations), Toxicology (11 citations), Pharmaceutical Science (18 citations) and Molecular Biology (178 citations). Mohammad Shadid has collaborated with scholars based in United States, Canada and Norway. Frequent co-authors include Garold S. Yost, Christopher A. Reilly, Mohamed Badawi, Abedelnasser Abulrob, Jayaprakasam Bolleddula, Ian M. Romaine, Norma Dunlap, Neil Osheroff, Clemens Anklin and Ryan Bender. Their work appears in journals such as Drug Metabolism and Disposition, Molecular Therapy — Methods & Clinical Development, Bioanalysis, MedChemComm 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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