Nada Khan

33 papers receiving 1.9k citations

Hit Papers

Validity of diagnostic coding within the General Practice Research Database: a systematic review 2010 · 576 citations
5762010202620152020100200300400500

Peers

Nada Khan
Comparison fields: 5 of 131
  • Oncology 701
  • Internal Medicine 54
  • Public Health, Environmental and Occupational Health 405
  • Health Information Management 62
  • Pediatrics, Perinatology and Child Health 248
Replace Siân Harrison with:
Siân Harrison United Kingdom
Lars Johansson Sweden
Alanna Kulchak Rahm United States
Laxmi S. Mehta United States
Gérard de Pouvourville France
Kathryn Fitch United States
Lotte Steuten Netherlands
Kim Cocks United Kingdom
Jane R. Schubart United States
Ross Lawrenson New Zealand
Nada Khan relative to Siân Harrison United Kingdom Siân Harrison's profile →
Citations per field
00.5×1.5×2.3×
Siân Harrison · 1×
Citations per year

Countries citing papers authored by Nada Khan

Since Specialization
Citations

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

Fields of papers citing papers by Nada Khan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
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10 202065
11 20189
12 201690
13 201151
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15 201164
16 201044
17 201011
18 2010342
19 201043
20 200731

About Nada Khan

Nada Khan is a scholar working on Health Information Management, Medical Laboratory Technology, Emergency Medical Services, General Health Professions and Oncology, having authored 39 papers that have together received 1.9k indexed citations. Recurring topics across this work include Cancer survivorship and care (11 papers), Family Support in Illness (7 papers), Palliative Care and End-of-Life Issues (4 papers), Primary Care and Health Outcomes (4 papers), Chronic Disease Management Strategies (3 papers), Healthcare cost, quality, practices (3 papers), Healthcare Policy and Management (3 papers) and Cancer Risks and Factors (2 papers). The work is most often cited by research in Oncology (701 citations), Internal Medicine (54 citations), Public Health, Environmental and Occupational Health (405 citations), Health Information Management (62 citations) and Pediatrics, Perinatology and Child Health (248 citations). Nada Khan has collaborated with scholars based in United Kingdom, Qatar and United States. Frequent co-authors include Peter W. Rose, Siân Harrison, Peter W. Rose, Rafael Perera, Stephen Harper, Eila Watson, Julie Evans, Alison Ward, L Carpenter and David Mant. Their work appears in journals such as British Journal of General Practice, British Journal of Cancer, Journal of Cancer Survivorship, European Journal of Cancer and BMC Family Practice.

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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