Nida Meednu
Impact in
- Immunology top 10%
- T-cell and B-cell Immunology
- Immune Cell Function and Interaction
- Immune Response and Inflammation
- Immune cells in cancer
- Rheumatology top 5%
- Systemic Lupus Erythematosus Research
- Rheumatoid Arthritis Research and Therapies
Papers in
-
- Fungal and yeast genetics research 4
- Ubiquitin and proteasome pathways 3
- Immunology 10
- Immune Cell Function and Interaction 6
- T-cell and B-cell Immunology 5
- Co-authors
- Jennifer H. Anolik (16 shared papers)Javier Rangel‐Moreno (8 shared papers)Teresa Owen (3 shared papers)Wen Sun (2 shared papers)Hengwei Zhang (2 shared papers)Anna Bird (4 shared papers)Steve N. Georas (6 shared papers)R. John Looney (4 shared papers)
- Journals
- The Journal of Immunology (5 papers)Prostaglandins Leukotrienes and Essential Fatty Acids (3 papers)Arthritis & Rheumatology (3 papers)Nature Communications (1 paper)Molecular Biology of the Cell (1 paper)
- Partner nations
- United StatesUnited KingdomCanada
In The Last Decade
Nida Meednu
25 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 80
- Immunology 360
- Rheumatology 237
- Genetics 59
- Oncology 149
- Immunology and Allergy 31
Countries citing papers authored by Nida Meednu
This map shows the geographic impact of Nida Meednu'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 Nida Meednu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nida Meednu more than expected).
Fields of papers citing papers by Nida Meednu
This network shows the impact of papers produced by Nida Meednu. 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 Nida Meednu. The network helps show where Nida Meednu may publish in the future.
Co-authors
The 25 scholars most cited alongside Nida Meednu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 145 | |
| 2 | 2018 | 145 | |
| 3 | 2015 | 134 | |
| 4 | 2011 | 83 | |
| 5 | 2013 | 78 | |
| 6 | 2017 | 65 | |
| 7 | 2009 | 58 | |
| 8 | 2012 | 43 | |
| 9 | 2023 | 34 | |
| 10 | 2015 | 30 | |
| 11 | 2010 | 28 | |
| 12 | 2021 | 25 | |
| 13 | 2022 | 25 | |
| 14 | 2008 | 22 | |
| 15 | 2017 | 22 | |
| 16 | 2012 | 21 | |
| 17 | 2012 | 16 | |
| 18 | 2013 | 15 | |
| 19 | 2021 | 10 | |
| 20 | 2006 | 10 |
About Nida Meednu
Nida Meednu is a scholar working on Molecular Biology, Immunology, Rheumatology, Oncology and Genetics, having authored 26 papers that have together received 1.0k indexed citations. Recurring topics across this work include Systemic Lupus Erythematosus Research (7 papers), Immune Cell Function and Interaction (6 papers), T-cell and B-cell Immunology (5 papers), Fungal and yeast genetics research (4 papers), Ubiquitin and proteasome pathways (3 papers), Microtubule and mitosis dynamics (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers) and CAR-T cell therapy research (2 papers). The work is most often cited by research in Immunology (360 citations), Rheumatology (237 citations), Genetics (59 citations), Oncology (149 citations) and Immunology and Allergy (31 citations). Nida Meednu has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Jennifer H. Anolik, Javier Rangel‐Moreno, Teresa Owen, Wen Sun, Hengwei Zhang, Anna Bird, Steve N. Georas, R. John Looney, Alexander F. Rosenberg and Lianping Xing. Their work appears in journals such as The Journal of Immunology, Prostaglandins Leukotrienes and Essential Fatty Acids, Arthritis & Rheumatology, Nature Communications and Molecular Biology of the Cell.
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.