Niveen Saudy

492 total citations
21 papers, 398 citations indexed

About

Niveen Saudy is a scholar working on Epidemiology, Hepatology and Parasitology. According to data from OpenAlex, Niveen Saudy has authored 21 papers receiving a total of 398 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Epidemiology, 8 papers in Hepatology and 6 papers in Parasitology. Recurrent topics in Niveen Saudy's work include Hepatitis C virus research (7 papers), Hepatitis B Virus Studies (5 papers) and Toxoplasma gondii Research Studies (4 papers). Niveen Saudy is often cited by papers focused on Hepatitis C virus research (7 papers), Hepatitis B Virus Studies (5 papers) and Toxoplasma gondii Research Studies (4 papers). Niveen Saudy collaborates with scholars based in Egypt, Japan and Saudi Arabia. Niveen Saudy's co-authors include Yasuhito Tanaka, Masashi Mizokami, Mohamed El‐Malky, Seiji Suzuki, Fuminaka Sugauchi, Fuat Kurbanov, Nobuo Ohta, Etsuro Orito, Yuzo Miyakawa and Emad Azmy and has published in prestigious journals such as Journal of Molecular Evolution, Journal of Medical Virology and Parasitology Research.

In The Last Decade

Niveen Saudy

20 papers receiving 386 citations

Peers

Niveen Saudy
Comparison fields: 5 of 62
  • Epidemiology 264
  • Hepatology 219
  • Parasitology 85
  • Molecular Biology 60
  • Infectious Diseases 40
Replace Pierre Berthelot with:
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E J Minton United Kingdom
Ellen B. Hunter United States
M. A. Madwar Egypt
Yukio Itoh Japan
Cecilia Parodi Argentina
Cyrus Badshah United States
Mohamed Saleh United Kingdom
Ellen G. J. Hulskotte Netherlands
Jose A. Garcia-Rivera United States
Pierre Berthelot France View profile →
Citations per field, relative to Niveen Saudy
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Citations per year, relative to Niveen Saudy
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Countries citing papers authored by Niveen Saudy

Since Specialization
Citations

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

Fields of papers citing papers by Niveen Saudy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Niveen Saudy

This figure shows the co-authorship network connecting the top 25 collaborators of Niveen Saudy. A scholar is included among the top collaborators of Niveen Saudy 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 Niveen Saudy. Niveen Saudy 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 6
2 2
3 15
4 16
5 21
6 40
7 1
8 8
9
Human leukocyte antigen class I alleles can predict response to pegylated interferon/ribavirin therapy in chronic hepatitis C Egyptian patients.
7
10 1
11 8
12 10
13 6
14 9
15 9
16 5
17 36
18 72
19 34
20 92

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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