Naila Naz
- Molecular Biology
- Hematology top 10%
- Nutrition and Dietetics top 10%
- Immunology
- Genetics
- Co-authors
- Ihtzaz Ahmed MalikGiuliano RamadoriNadeem SheikhFederico MoriconiSajjad KhanAhmad AmanzadaMartina BlaschkeShakil Ahmad
- Topics
- Iron Metabolism and Disorders (12 papers)Trace Elements in Health (9 papers)Hemoglobinopathies and Related Disorders (7 papers)
- Journals
- Journal of Clinical OncologySHILAP Revista de lepidopterologíaInternational Journal of Molecular Sciences
- Partner nations
- GermanyUnited KingdomPakistan
In The Last Decade
Naila Naz
38 papers receiving 515 citations
Peers
Comparison fields: 5 of 98
- Molecular Biology 115
- Hematology 91
- Nutrition and Dietetics 91
- Immunology 69
- Genetics 64
Countries citing papers authored by Naila Naz
This map shows the geographic impact of Naila Naz'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 Naila Naz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Naila Naz more than expected).
Fields of papers citing papers by Naila Naz
This network shows the impact of papers produced by Naila Naz. 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 Naila Naz. The network helps show where Naila Naz may publish in the future.
Co-authorship network of co-authors of Naila Naz
This figure shows the co-authorship network connecting the top 25 collaborators of Naila Naz. A scholar is included among the top collaborators of Naila Naz 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 Naila Naz. Naila Naz is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 3 | |
| 3 | 1 | |
| 4 | 8 | |
| 5 | Sequence Diversity of MAOA Gene within Wild and Docile Animal Species | 1 |
| 6 | 15 | |
| 7 | 1 | |
| 8 | Dose-dependent acute phase response of aqueous leaf decoction of Nerium oleander in Wistar rats. | 2 |
| 9 | 12 | |
| 10 | 4 | |
| 11 | 21 | |
| 12 | 15 | |
| 13 | 30 | |
| 14 | 43 | |
| 15 | 68 | |
| 16 | 34 | |
| 17 | 67 | |
| 18 | 9 | |
| 19 | 23 | |
| 20 | Early pregnancy diagnosis in the ewes based on plasma progesterone level. | 1 |
About Naila Naz
Naila Naz is a scholar working on Hematology, Genetics and Nutrition and Dietetics, having authored 41 papers that have together received 534 indexed citations. Recurring topics across this work include Iron Metabolism and Disorders (12 papers), Trace Elements in Health (9 papers) and Hemoglobinopathies and Related Disorders (7 papers). The work is most often cited by research in Hematology (91 citations), Genetics (64 citations) and Nutrition and Dietetics (91 citations). Naila Naz has collaborated with scholars based in Germany, United Kingdom and Pakistan. Frequent co-authors include Ihtzaz Ahmed Malik, Giuliano Ramadori, Nadeem Sheikh, Federico Moriconi, Sajjad Khan, Ahmad Amanzada, Martina Blaschke, Shakil Ahmad, Jaleel A. Miyan and Margret Rave‐Fränk. Their work appears in journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and International Journal of Molecular Sciences.
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.