Madiha Tariq

1.1k citations
45 papers · 661 indexed · 1 hit paper · h-index 11

Madiha Tariq

39 papers receiving 648 citations

Hit Papers

Factors Associated With Racial/Ethnic Group–Based Medical...174202120262022202450100150

Peers

Madiha Tariq
Comparison fields: 5 of 110
  • Health 132
  • Modeling and Simulation 32
  • Pollution 75
  • Family Practice 13
  • Environmental Engineering 73
Replace Tanja Schmidt with:
Tanja Schmidt Denmark
Julian Mamo Malta
Md. Mostafizur Rahman Bangladesh
Nisha Naicker South Africa
Rahim Tahmasebi Iran
Jenny LaChance United States
Unaib Rabbani Saudi Arabia
Alana M. W. LeBrón United States
Mondira Bardhan Bangladesh
Ali Alami Iran
Madiha Tariq relative to Tanja Schmidt Denmark Tanja Schmidt's profile →
Citations per field
00.5×10×14.6×
Tanja Schmidt · 1×
Citations per year

Countries citing papers authored by Madiha Tariq

Since Specialization
Citations

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

Fields of papers citing papers by Madiha Tariq

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
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3 20240
4 20241
5 20241
6 20231
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10 20220
11 202115
12 20217
13 20215
14 20217
15 202052
16 20208
17 201836
18 201565
19
Management Issues for Female Librarians: A Case Study of University of the Punjab
20134
20 200621

About Madiha Tariq

Madiha Tariq is a scholar working on Health, Clinical Psychology and Family Practice, having authored 45 papers that have together received 661 indexed citations. Recurring topics across this work include Migration, Health and Trauma (9 papers), Racial and Ethnic Identity Research (5 papers), Food Security and Health in Diverse Populations (5 papers), Global Cancer Incidence and Screening (5 papers), Cervical Cancer and HPV Research (5 papers), Electrochemical sensors and biosensors (4 papers), Microbial Fuel Cells and Bioremediation (4 papers) and Healthcare Policy and Management (3 papers). The work is most often cited by research in Health (132 citations), Modeling and Simulation (32 citations) and Pollution (75 citations). Madiha Tariq has collaborated with scholars based in United States, Pakistan and China. Frequent co-authors include Qaisar Mahmood, Shahida Shaheen, Minal Patel, Arshid Pervez, Rima A. Mohammad, Vincent D. Marshall, Jin Wang, Zulfiqar Ahmad Bhatti, Lisa Rutledge and Seongho Kim. Their work appears in journals such as Journal of Immigrant and Minority Health, Journal of Racial and Ethnic Health Disparities, Neurology, Progress in community health partnerships and Scientific Reports.

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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