Saad A. Noeman

12 papers receiving 454 citations

Peers

Saad A. Noeman
Comparison fields: 5 of 90
  • Drug Discovery 1
  • Biochemistry 28
  • Pharmacology 40
  • Nutrition and Dietetics 68
  • Endocrinology, Diabetes and Metabolism 62
Replace Amal Baalash with:
Amal Baalash Egypt
Wells R Moorehead United States
M. Uysal Türkiye
Güldal Mehmetçik Cyprus
Mambakkam Katchapeswaran Ravichandran India
Abdullah S. Shatoor Saudi Arabia
Juliana Tieppo Brazil
Josef Bartek Czechia
Hyunghee Lee South Korea
Maher A. Amer Egypt
Saad A. Noeman relative to Amal Baalash Egypt Amal Baalash's profile →
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Citations per year

Countries citing papers authored by Saad A. Noeman

Since Specialization
Citations

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

Fields of papers citing papers by Saad A. Noeman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Saad A. Noeman. 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 Saad A. Noeman. The network helps show where Saad A. Noeman may publish in the future.

Co-authors

The 9 scholars most cited alongside Saad A. Noeman, 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 Saad A. Noeman Line = papers co-authored together Saad A. Noeman links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1 2011391
2 198220
3 198213
4 201510
5 19866
6
Significance of tumour markers in colorectal carcinoma associated with Schistosomiasis.
19946
7 19946
8 19945
9 20165
10
Characterization of the T antigen and T agglutinin in inbred rats.
19804
11
Production of monoclonal antibodies to rat MHC antigens using different myelomas.
19813
12 19941

About Saad A. Noeman

Saad A. Noeman is a scholar working on Molecular Biology, Epidemiology, Radiology, Nuclear Medicine and Imaging, Immunology and Infectious Diseases, having authored 12 papers that have together received 470 indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (4 papers), Glycosylation and Glycoproteins Research (3 papers), Viral Infectious Diseases and Gene Expression in Insects (2 papers), Paraoxonase enzyme and polymorphisms (2 papers), Liver Disease Diagnosis and Treatment (2 papers), Vaccine Coverage and Hesitancy (1 paper), Hepatitis Viruses Studies and Epidemiology (1 paper) and Immunotherapy and Immune Responses (1 paper). The work is most often cited by research in Drug Discovery (1 citation), Biochemistry (28 citations), Pharmacology (40 citations), Nutrition and Dietetics (68 citations) and Endocrinology, Diabetes and Metabolism (62 citations). Saad A. Noeman has collaborated with scholars based in United States, Egypt and Saudi Arabia. Frequent co-authors include Amal Baalash, Heinz W. Kunz, Dhirendra N. Misra, Walaa A. Keshk, T. J. Gill, Gill Tj, Naseem Akhtar Qureshi, Mohsen Gadallah and Nabil Taha. Their work appears in journals such as Journal of Food Biochemistry, Methods in enzymology on CD-ROM/Methods in enzymology, Diabetology & Metabolic Syndrome, The Journal of Immunology and Journal of Immunological Methods.

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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