Aisha T. Langford

2.7k citations
99 papers · 1.5k indexed · h-index 21

Aisha T. Langford

89 papers receiving 1.4k citations

Peers

Aisha T. Langford
Comparison fields: 5 of 116
  • Health 235
  • General Health Professions 694
  • Public Health, Environmental and Occupational Health 494
  • Applied Psychology 66
  • Obstetrics and Gynecology 72
Replace Sukyung Chung with:
Sukyung Chung United States
Stephanie Veazie United States
Hajira Dambha‐Miller United Kingdom
Young‐Rock Hong United States
Donna Manca Canada
Patrick M. Wilson United States
Joni S. Williams United States
Jessica L. Krok‐Schoen United States
Rebecca Anhang Price United States
Aisha T. Langford relative to Sukyung Chung United States Sukyung Chung's profile →
Citations per field
00.5×1.6×
Sukyung Chung · 1×
Citations per year

Countries citing papers authored by Aisha T. Langford

Since Specialization
Citations

This map shows the geographic impact of Aisha T. Langford'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 Aisha T. Langford with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Aisha T. Langford more than expected).

Fields of papers citing papers by Aisha T. Langford

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Aisha T. Langford. 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 Aisha T. Langford. The network helps show where Aisha T. Langford may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20250
3 20250
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6 20240
7 20229
8 20229
9 20216
10 20212
11 202114
12 20212
13 202150
14 202011
15 201940
16 20193
17 201984
18 201940
19 201912
20 201820

About Aisha T. Langford

Aisha T. Langford is a scholar working on Health, General Health Professions and Public Health, Environmental and Occupational Health, having authored 99 papers that have together received 1.5k indexed citations. Recurring topics across this work include Patient-Provider Communication in Healthcare (30 papers), Health Literacy and Information Accessibility (18 papers), Ethics in Clinical Research (17 papers), Health Systems, Economic Evaluations, Quality of Life (12 papers), Mobile Health and mHealth Applications (10 papers), Palliative Care and End-of-Life Issues (9 papers), Social Media in Health Education (9 papers) and Chronic Disease Management Strategies (5 papers). The work is most often cited by research in Health (235 citations), General Health Professions (694 citations) and Public Health, Environmental and Occupational Health (494 citations). Aisha T. Langford has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Stacy Loeb, Ken Resnicow, Lawrence C. An, Jolaade Kalinowski, Terry Leet, Anik Giguère, Corinne E. Joshu, Jen Jen Chang, Mark Butler and Thomas Myles. Their work appears in journals such as Patient Education and Counseling, Hypertension, Journal of Health Communication, Journal of Medical Internet Research and Medical Decision Making.

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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