Juveria Siddiqui

567 citations
15 papers · 351 indexed · h-index 8
Topics
Radiomics and Machine Learning in Medical Imaging (2 papers)AI in cancer detection (2 papers)COVID-19 Clinical Research Studies (2 papers)
Journals
New England Journal of MedicineSHILAP Revista de lepidopterologíaBrain Behavior and Immunity

In The Last Decade

Juveria Siddiqui

13 papers receiving 347 citations

Peers

Juveria Siddiqui
Comparison fields: 5 of 69
  • Surgery 128
  • Neurology 119
  • Endocrinology, Diabetes and Metabolism 86
  • Molecular Biology 75
  • Infectious Diseases 69
Replace Narayan Lath with:
Narayan Lath Singapore
Kazuyuki Noda Japan
Zhihua Xu China
Thakul Oearsakul Thailand
Alfredo Madrid-García Spain
Michael Sonnberger Austria
Ali A. Habib United States
Takeo Goto Japan
Sevilay Özmen Türkiye
Andrew D. Pitkin United States
Juveria Siddiqui relative to Narayan Lath Singapore Narayan Lath's profile →
Citations per field
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Citations per year

Countries citing papers authored by Juveria Siddiqui

Since Specialization
Citations

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

Fields of papers citing papers by Juveria Siddiqui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Juveria Siddiqui

This figure shows the co-authorship network connecting the top 25 collaborators of Juveria Siddiqui. A scholar is included among the top collaborators of Juveria Siddiqui 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 Juveria Siddiqui. Juveria Siddiqui is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

15 of 15 papers shown
#WorkIndexed citations
1 0
2 0
3 3
4 11
5 37
6 4
7 89
8 11
9 5
10 7
11 6
12 17
13 7
14 69
15 85

About Juveria Siddiqui

Juveria Siddiqui is a scholar working on Health Informatics, Internal Medicine and Neurology, having authored 15 papers that have together received 351 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (2 papers), AI in cancer detection (2 papers) and COVID-19 Clinical Research Studies (2 papers). The work is most often cited by research in Neurology (119 citations), Health Informatics (10 citations) and Endocrinology, Diabetes and Metabolism (86 citations). Juveria Siddiqui has collaborated with scholars based in United Kingdom, Sweden and India. Frequent co-authors include Anna L. Gloyn, Sian Ellard, Matthew Benger, L. Sztriha, Jan Alm, Bendt Brock Jacobsen, Nicholas D. Tribble, Klaus Brusgaard, Anders Molven and Henrik Thybo Christesen. Their work appears in journals such as New England Journal of Medicine, SHILAP Revista de lepidopterología and Brain Behavior and Immunity.

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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