Amna Umer
Impact in
-
- Technology Adoption and User Behaviour
- Marketing top 5%
- Consumer Retail Behavior Studies
- Consumer Behavior and Marketing Influence
Papers in
- Genetics 5
- Mesenchymal stem cell research 5
-
- Technology Adoption and User Behaviour 2
- Co-authors
- Syed Ali Raza (2 shared papers)Muhammad Asif Qureshi (1 shared paper)Abdul Samad Dahri (1 shared paper)Nida Shah (1 shared paper)Nasar Ur Rehman Khan (8 shared papers)Khalil Ahmad (4 shared papers)Muazzam Ali Khan (1 shared paper)David L. Greene (1 shared paper)
- Journals
- The TQM Journal (1 paper)Regenerative Medicine (1 paper)Stem Cell Reviews and Reports (1 paper)Journal of Molecular Medicine (1 paper)Frontiers in Endocrinology (1 paper)
- Partner nations
- PakistanUnited StatesTürkiye
In The Last Decade
Amna Umer
9 papers receiving 481 citations
Amna Umer's Hit Papers
Peers
Comparison fields: 5 of 85
- Information Systems and Management 225
- Marketing 178
- Organizational Behavior and Human Resource Management 165
- Health Information Management 37
- Management Information Systems 59
Countries citing papers authored by Amna Umer
This map shows the geographic impact of Amna Umer'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 Amna Umer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Amna Umer more than expected).
Fields of papers citing papers by Amna Umer
This network shows the impact of papers produced by Amna Umer. 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 Amna Umer. The network helps show where Amna Umer may publish in the future.
Co-authors
The 8 scholars most cited alongside Amna Umer, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Internet banking service quality, e-customer satisfaction and loyalty: the modified e-SERVQUAL model Hit paper breakdown → | 2020 | 304 |
| 2 | 2017 | 123 | |
| 3 | 2022 | 36 | |
| 4 | 2024 | 19 | |
| 5 | 2024 | 12 | |
| 6 | 2022 | 6 | |
| 7 | 2024 | 6 | |
| 8 | 2024 | 1 | |
| 9 | 2023 | 1 | |
| 10 | 2024 | 0 | |
| 11 | 2025 | 0 |
About Amna Umer
Amna Umer is a scholar working on Genetics, Information Systems and Management, Surgery, Health Information Management and Public Health, Environmental and Occupational Health, having authored 11 papers that have together received 508 indexed citations. Recurring topics across this work include Mesenchymal stem cell research (5 papers), Tissue Engineering and Regenerative Medicine (2 papers), Pluripotent Stem Cells Research (2 papers), Technology Adoption and User Behaviour (2 papers), Reproductive Biology and Fertility (2 papers), Bariatric Surgery and Outcomes (1 paper), Pancreatic function and diabetes (1 paper) and Hematopoietic Stem Cell Transplantation (1 paper). The work is most often cited by research in Information Systems and Management (225 citations), Marketing (178 citations), Organizational Behavior and Human Resource Management (165 citations), Health Information Management (37 citations) and Management Information Systems (59 citations). Amna Umer has collaborated with scholars based in Pakistan, United States and Türkiye. Frequent co-authors include Syed Ali Raza, Muhammad Asif Qureshi, Abdul Samad Dahri, Nida Shah, Nasar Ur Rehman Khan, Khalil Ahmad, Muazzam Ali Khan and David L. Greene. Their work appears in journals such as The TQM Journal, Regenerative Medicine, Stem Cell Reviews and Reports, Journal of Molecular Medicine and Frontiers in Endocrinology.
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.