Madhuri Kango‐Singh
- Cell Biology top 0.2%
- Molecular Biology top 5%
- Oncology top 10%
- Cellular and Molecular Neuroscience top 5%
- Immunology
- Co-authors
- Georg HalderChunyao TaoRiitta NoloAmit SinghRyan S. UdanFisun HamaratoǧluEric HyunHamed Jafar‐Nejad
- Topics
- Hippo pathway signaling and YAP/TAZ (21 papers)Wnt/β-catenin signaling in development and cancer (17 papers)Developmental Biology and Gene Regulation (13 papers)
- Cited by
- Cell BiologyAgingMolecular Biology
- Journals
- Proceedings of the National Academy of SciencesSHILAP Revista de lepidopterologíaPLoS ONE
- Partner nations
- United StatesTaiwanItaly
In The Last Decade
Madhuri Kango‐Singh
48 papers receiving 3.1k citations
Hit Papers
Peers
Comparison fields: 5 of 94
- Cell Biology 2.3k
- Molecular Biology 1.9k
- Oncology 361
- Cellular and Molecular Neuroscience 330
- Immunology 166
Countries citing papers authored by Madhuri Kango‐Singh
This map shows the geographic impact of Madhuri Kango‐Singh'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 Madhuri Kango‐Singh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Madhuri Kango‐Singh more than expected).
Fields of papers citing papers by Madhuri Kango‐Singh
This network shows the impact of papers produced by Madhuri Kango‐Singh. 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 Madhuri Kango‐Singh. The network helps show where Madhuri Kango‐Singh may publish in the future.
Co-authorship network of co-authors of Madhuri Kango‐Singh
This figure shows the co-authorship network connecting the top 25 collaborators of Madhuri Kango‐Singh. A scholar is included among the top collaborators of Madhuri Kango‐Singh 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 Madhuri Kango‐Singh. Madhuri Kango‐Singh is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 5 | |
| 3 | 1 | |
| 4 | 6 | |
| 5 | 30 | |
| 6 | 3 | |
| 7 | 117 | |
| 8 | 8 | |
| 9 | 15 | |
| 10 | 26 | |
| 11 | 22 | |
| 12 | 1 | |
| 13 | 33 | |
| 14 | 13 | |
| 15 | 20 | |
| 16 | 81 | |
| 17 | 271 | |
| 18 | The tumour-suppressor genes NF2/Merlin and Expanded act through Hippo signalling to regulate cell proliferation and apoptosisbreakdown → | 632 |
| 19 | 27 | |
| 20 | 39 |
About Madhuri Kango‐Singh
Madhuri Kango‐Singh is a scholar working on Cell Biology, Aging and Molecular Biology, having authored 48 papers that have together received 3.2k indexed citations. Recurring topics across this work include Hippo pathway signaling and YAP/TAZ (21 papers), Wnt/β-catenin signaling in development and cancer (17 papers) and Developmental Biology and Gene Regulation (13 papers). The work is most often cited by research in Cell Biology (2.3k citations), Aging (75 citations) and Molecular Biology (1.9k citations). Madhuri Kango‐Singh has collaborated with scholars based in United States, Taiwan and Italy. Frequent co-authors include Georg Halder, Chunyao Tao, Riitta Nolo, Amit Singh, Ryan S. Udan, Fisun Hamaratoǧlu, Eric Hyun, Hamed Jafar‐Nejad, Chiao‐Lin Chen and P. Robin Hiesinger. Their work appears in journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and PLoS ONE.
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.