Nida Meednu

4.1k citations
25 papers · 964 indexed · h-index 17

Impact in

  • Immunology top 10%
    • T-cell and B-cell Immunology
    • Immune Cell Function and Interaction
    • Immune Response and Inflammation
    • Immune cells in cancer
    • Systemic Lupus Erythematosus Research
    • Rheumatoid Arthritis Research and Therapies

Papers in

    • Systemic Lupus Erythematosus Research 8
    • Rheumatoid Arthritis Research and Therapies 3
    • Immune Cell Function and Interaction 7
    • T-cell and B-cell Immunology 7

Nida Meednu

25 papers receiving 953 citations

Peers

Nida Meednu
Comparison fields: 5 of 82
  • Immunology 411
  • Rheumatology 268
  • Immunology and Allergy 38
  • Oncology 165
  • Genetics 64
Replace Jinxia Zhao with:
Jinxia Zhao China
Fujio Nakazawa Japan
José Ramón Lamas Spain
Thomas Karonitsch Austria
Yin Su China
Kimito Kawahata Japan
An‐Fang Huang China
Iman H. Bassyouni Egypt
Qi‐Quan Huang United States
Patrick S. Asmawidjaja Netherlands
Nida Meednu relative to Jinxia Zhao China Jinxia Zhao's profile →
Citations per field
00.5×1.5×
Jinxia Zhao · 1×
Citations per year

Countries citing papers authored by Nida Meednu

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Nida Meednu Line = papers co-authored together Nida Meednu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20251
2 202223
3 2022131
4 202120
5 20211
6 202110
7 20191
8 2018137
9 201722
10 201530
11 201315
12 201377
13 201221
14 201216
15 201243
16 201183
17 201028
18 200956
19 200822
20 200610

About Nida Meednu

Nida Meednu is a scholar working on Rheumatology, Immunology, Biochemistry, Immunology and Allergy and Molecular Biology, having authored 25 papers that have together received 964 indexed citations. Recurring topics across this work include Systemic Lupus Erythematosus Research (8 papers), Immune Cell Function and Interaction (7 papers), T-cell and B-cell Immunology (7 papers), Fungal and yeast genetics research (4 papers), Ubiquitin and proteasome pathways (3 papers), Rheumatoid Arthritis Research and Therapies (3 papers), Antiplatelet Therapy and Cardiovascular Diseases (2 papers) and CAR-T cell therapy research (2 papers). The work is most often cited by research in Immunology (411 citations), Rheumatology (268 citations), Immunology and Allergy (38 citations), Oncology (165 citations) and Genetics (64 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, Anna Bird, Hengwei Zhang, Wen Sun, Steve N. Georas, R. John Looney, Alexander F. Rosenberg and Timothy J. Chapman. Their work appears in journals such as The Journal of Immunology, Prostaglandins Leukotrienes and Essential Fatty Acids, Arthritis & Rheumatology, Journal of Allergy and Clinical Immunology and Nature Communications.

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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