Archana Iyer
- Molecular Biology top 10%
- Cancer Research top 2%
- Health, Toxicology and Mutagenesis top 5%
- Immunology
- Oncology
- Co-authors
- Andrea CalifanoMukesh BansalPavel SumazinDavid Llobet‐NavàsTaha KumosaniWei‐Jen ChungHua‐Sheng ChiuJosé Silva
- Topics
- Vitamin D Research Studies (4 papers)Amino Acid Enzymes and Metabolism (3 papers)CRISPR and Genetic Engineering (3 papers)
- Partner nations
- Saudi ArabiaUnited StatesLebanon
In The Last Decade
Archana Iyer
41 papers receiving 1.9k citations
Hit Papers
Peers
Comparison fields: 5 of 123
- Molecular Biology 1.1k
- Cancer Research 765
- Health, Toxicology and Mutagenesis 254
- Immunology 194
- Oncology 169
Countries citing papers authored by Archana Iyer
This map shows the geographic impact of Archana Iyer'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 Archana Iyer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Archana Iyer more than expected).
Fields of papers citing papers by Archana Iyer
This network shows the impact of papers produced by Archana Iyer. 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 Archana Iyer. The network helps show where Archana Iyer may publish in the future.
Co-authorship network of co-authors of Archana Iyer
This figure shows the co-authorship network connecting the top 25 collaborators of Archana Iyer. A scholar is included among the top collaborators of Archana Iyer 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 Archana Iyer. Archana Iyer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 11 | |
| 2 | 1 | |
| 3 | 11 | |
| 4 | 10 | |
| 5 | 3 | |
| 6 | 2 | |
| 7 | 4 | |
| 8 | 7 | |
| 9 | The significance of Escherichia coli-induced mastitis in cows associated with the presence of virulence genes and wide range-resistance to twenty antimicrobials. | 5 |
| 10 | 45 | |
| 11 | 232 | |
| 12 | 128 | |
| 13 | 35 | |
| 14 | 0 | |
| 15 | 88 | |
| 16 | 6 | |
| 17 | An Extensive MicroRNA-Mediated Network of RNA-RNA Interactions Regulates Established Oncogenic Pathways in Glioblastomabreakdown → | 580 |
| 18 | 36 | |
| 19 | 78 | |
| 20 | Mycobacterium tuberculosis Isolates from Multiple-Drug-Resistant Tuberculosis Patients from Bombay, India. | 0 |
About Archana Iyer
Archana Iyer is a scholar working on Endocrinology, Clinical Biochemistry and Biochemistry, having authored 43 papers that have together received 1.9k indexed citations. Recurring topics across this work include Vitamin D Research Studies (4 papers), Amino Acid Enzymes and Metabolism (3 papers) and CRISPR and Genetic Engineering (3 papers). The work is most often cited by research in Cancer Research (765 citations), Health, Toxicology and Mutagenesis (254 citations) and Molecular Biology (1.1k citations). Archana Iyer has collaborated with scholars based in Saudi Arabia, United States and Lebanon. Frequent co-authors include Andrea Califano, Mukesh Bansal, Pavel Sumazin, David Llobet‐Navàs, Taha Kumosani, Wei‐Jen Chung, Hua‐Sheng Chiu, José Silva, Xuerui Yang and Presha Rajbhandari. Their work appears in journals such as Nature, Cell and Blood.
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.