Nadia Khan

438 total citations
6 papers, 329 citations indexed

About

Nadia Khan is a scholar working on Pulmonary and Respiratory Medicine, Artificial Intelligence and Nephrology. According to data from OpenAlex, Nadia Khan has authored 6 papers receiving a total of 329 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Pulmonary and Respiratory Medicine, 2 papers in Artificial Intelligence and 1 paper in Nephrology. Recurrent topics in Nadia Khan's work include Digital Radiography and Breast Imaging (2 papers), AI in cancer detection (2 papers) and Healthcare professionals’ stress and burnout (1 paper). Nadia Khan is often cited by papers focused on Digital Radiography and Breast Imaging (2 papers), AI in cancer detection (2 papers) and Healthcare professionals’ stress and burnout (1 paper). Nadia Khan collaborates with scholars based in United States, Bangladesh and Pakistan. Nadia Khan's co-authors include Saadiya Khan, Babar Tasneem Shaikh, Syed Mohammad Ali Kazmi, John Heine, Ronald F. Sing, Thomas A. Sellers, L. Gabriel Navar, Dewan S. A. Majid, Jennifer S. Drukteinis and Alexander Castillo and has published in prestigious journals such as Hypertension, Medical Physics and Academic Radiology.

In The Last Decade

Nadia Khan

5 papers receiving 272 citations

Peers

Nadia Khan
Comparison fields: 5 of 70
  • General Health Professions 199
  • Clinical Psychology 189
  • Public Health, Environmental and Occupational Health 83
  • Social Psychology 70
  • Applied Psychology 25
Replace Paula Vainiomäki with:
Paula Vainiomäki Finland
Benedita Andrade Leal de Abreu Brazil
Greg Malin Canada
Jairo M. González-Díaz Colombia
Gautam Saha India
Adam Quinn United States
Daniel H. Angres United States
Fayegh Yousefi Iran
Emmanuel Echániz-Serrano Spain
Efat Sadeghian Iran
Paula Vainiomäki Finland View profile →
Citations per field, relative to Nadia Khan
Nadia Khan · 1×
Citations per year, relative to Nadia Khan
Nadia Khan · 1×

Countries citing papers authored by Nadia Khan

Since Specialization
Citations

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

Fields of papers citing papers by Nadia Khan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nadia Khan

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

All Works

6 of 6 papers shown
# Work Indexed citations
1 0
2 5
3 1
4 4
5 310
6
Hepatitis C antibodies in haemodialysis and pattern of end-stage renal failure in Gassim, Saudi Arabia.
9

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026