Farida S. Sharief

2.3k total citations · 2 hit papers
27 papers, 2.0k citations indexed

About

Farida S. Sharief is a scholar working on Molecular Biology, Clinical Biochemistry and Cancer Research. According to data from OpenAlex, Farida S. Sharief has authored 27 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Molecular Biology, 6 papers in Clinical Biochemistry and 4 papers in Cancer Research. Recurrent topics in Farida S. Sharief's work include Metabolism and Genetic Disorders (6 papers), Mitochondrial Function and Pathology (5 papers) and Molecular Biology Techniques and Applications (4 papers). Farida S. Sharief is often cited by papers focused on Metabolism and Genetic Disorders (6 papers), Mitochondrial Function and Pathology (5 papers) and Molecular Biology Techniques and Applications (4 papers). Farida S. Sharief collaborates with scholars based in United States, Sweden and United Kingdom. Farida S. Sharief's co-authors include D. Martin Watterson, Thomas Vanaman, Paul M. Keller, William C. Copeland, Y C Pan, Ikuya Sakai, W M Fitch, Philip A. Ropp, Steven S.‐L. Li and Patrick J. Vojta and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and Biochemical Journal.

In The Last Decade

Farida S. Sharief

27 papers receiving 1.9k citations

Hit Papers

The complete amino acid sequence of the Ca2+-dependent mo... 1976 2026 1992 2009 1980 1976 100 200 300 400 500

Peers

Farida S. Sharief
Comparison fields: 5 of 107
  • Molecular Biology 1.5k
  • Cell Biology 211
  • Materials Chemistry 203
  • Cellular and Molecular Neuroscience 182
  • Clinical Biochemistry 178
Replace Lekha Patel with:
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Lekha Patel United States View profile →
Citations per field, relative to Farida S. Sharief
Farida S. Sharief · 1×
Citations per year, relative to Farida S. Sharief
Farida S. Sharief · 1×

Countries citing papers authored by Farida S. Sharief

Since Specialization
Citations

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

Fields of papers citing papers by Farida S. Sharief

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Farida S. Sharief. 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 Farida S. Sharief. The network helps show where Farida S. Sharief may publish in the future.

Co-authorship network of co-authors of Farida S. Sharief

This figure shows the co-authorship network connecting the top 25 collaborators of Farida S. Sharief. A scholar is included among the top collaborators of Farida S. Sharief based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Farida S. Sharief. Farida S. Sharief is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 45
2 78
3 96
4 101
5 6
6
Expression of human prostatic acid phosphatase and prostate specific antigen genes in neoplastic and benign tissues.
19
7
Nucleotide sequence of human prostatic acid phosphatase ACPP gene, including seven Alu repeats.
7
8 8
9 13
10 23
11 39
12 9
13 32
14 46
15 19
16 65
17 5
18 130
19 90
20 10

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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