Fadia E. Ali

21 papers receiving 607 citations

Peers

Fadia E. Ali
Comparison fields: 5 of 65
  • Immunology and Allergy 253
  • Hematology 105
  • Cellular and Molecular Neuroscience 114
  • Molecular Biology 404
  • Radiology, Nuclear Medicine and Imaging 116
Replace Daw-Tsun Shih with:
Daw-Tsun Shih United States
Thomas E. Rawson United States
Soan Cheng United States
Rajasree Golla United States
Timothy J. Blake Australia
Katy E. Georgiadis United States
Marcel Mueller Switzerland
Jack A. Kauffman United States
M. Schneller Germany
Christine Lambert‐van der Brempt United Kingdom
Fadia E. Ali relative to Daw-Tsun Shih United States Daw-Tsun Shih's profile →
Citations per field
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Citations per year

Countries citing papers authored by Fadia E. Ali

Since Specialization
Citations

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

Fields of papers citing papers by Fadia E. Ali

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fadia E. Ali. 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 Fadia E. Ali. The network helps show where Fadia E. Ali may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1985125
2 1997105
3 199283
4 199379
5 199374
6 199443
7 199543
8 199721
9 199819
10 199716
11 198016
12 198510
13 198210
14 19947
15 20007
16 19826
17 19926
18 19984
19 19873
20 19943

About Fadia E. Ali

Fadia E. Ali is a scholar working on Molecular Biology, Immunology and Allergy, Hematology, Organic Chemistry and Radiology, Nuclear Medicine and Imaging, having authored 21 papers that have together received 681 indexed citations. Recurring topics across this work include Cell Adhesion Molecules Research (8 papers), Platelet Disorders and Treatments (6 papers), Chemical Synthesis and Analysis (5 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), Glycosylation and Glycoproteins Research (3 papers), S100 Proteins and Annexins (2 papers), Neuroendocrine regulation and behavior (2 papers) and Blood groups and transfusion (2 papers). The work is most often cited by research in Immunology and Allergy (253 citations), Hematology (105 citations), Cellular and Molecular Neuroscience (114 citations), Molecular Biology (404 citations) and Radiology, Nuclear Medicine and Imaging (116 citations). Fadia E. Ali has collaborated with scholars based in United States, Saudi Arabia and Pakistan. Frequent co-authors include Raul R. Calvo, Thomas W. Ku, William E. Bondinell, James M. Samanen, James F. Callahan, John W. Bean, Catherine E. Peishoff, William F. Huffman, Shing‐Mei Hwang and Andrew J. Nichols. Their work appears in journals such as Journal of Medicinal Chemistry, Tetrahedron Letters, Bioorganic & Medicinal Chemistry Letters, Journal of Pharmacology and Experimental Therapeutics and Thrombosis 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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