Subbareddy Maddika
Impact in
- Molecular Biology top 5%
- Ubiquitin and proteasome pathways
- PI3K/AKT/mTOR signaling in cancer
- Cell death mechanisms and regulation
- RNA Interference and Gene Delivery
- RNA modifications and cancer
- Cancer Research top 5%
Papers in
- Cell Biology 15
- Microtubule and mitosis dynamics 7
- Cellular transport and secretion 6
- Endoplasmic Reticulum Stress and Disease 4
- Co-authors
- Marek ŁośSwapnil Rohidas ShindeJunjie ChenSudharsana Rao AndeEmilia WiechećVivek Reddy PalicharlaKlaus Schulze‐OsthoffSridhar Kavela
- Journals
- Journal of Cell Science (5 papers)Journal of Biological Chemistry (4 papers)Nature Cell Biology (3 papers)Cellular Signalling (3 papers)Cell Proliferation (2 papers)
- Partner nations
- IndiaCanadaUnited States
In The Last Decade
Subbareddy Maddika
45 papers receiving 2.9k citations
Peers
Comparison fields: 5 of 110
- Molecular Biology 2.1k
- Cancer Research 367
- Oncology 596
- Cell Biology 342
- Physiology 75
Countries citing papers authored by Subbareddy Maddika
This map shows the geographic impact of Subbareddy Maddika'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 Subbareddy Maddika with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Subbareddy Maddika more than expected).
Fields of papers citing papers by Subbareddy Maddika
This network shows the impact of papers produced by Subbareddy Maddika. 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 Subbareddy Maddika. The network helps show where Subbareddy Maddika may publish in the future.
Co-authors
The 25 scholars most cited alongside Subbareddy Maddika, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2024 | 3 | |
| 5 | 2022 | 18 | |
| 6 | 2022 | 6 | |
| 7 | 2021 | 6 | |
| 8 | 2019 | 13 | |
| 9 | 2018 | 14 | |
| 10 | 2018 | 22 | |
| 11 | 2017 | 16 | |
| 12 | 2017 | 40 | |
| 13 | 2017 | 6 | |
| 14 | 2017 | 50 | |
| 15 | 2015 | 50 | |
| 16 | 2013 | 194 | |
| 17 | 2012 | 41 | |
| 18 | 2009 | 22 | |
| 19 | 2009 | 57 | |
| 20 | 2009 | 150 |
About Subbareddy Maddika
Subbareddy Maddika is a scholar working on Cell Biology, Physiology, Molecular Biology, Animal Science and Zoology and Oncology, having authored 48 papers that have together received 2.9k indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (15 papers), PI3K/AKT/mTOR signaling in cancer (10 papers), Cell death mechanisms and regulation (8 papers), Microtubule and mitosis dynamics (7 papers), Cancer-related Molecular Pathways (7 papers), Cellular transport and secretion (6 papers), Animal Virus Infections Studies (4 papers) and Endoplasmic Reticulum Stress and Disease (4 papers). The work is most often cited by research in Molecular Biology (2.1k citations), Cancer Research (367 citations), Oncology (596 citations), Cell Biology (342 citations) and Physiology (75 citations). Subbareddy Maddika has collaborated with scholars based in India, Canada and United States. Frequent co-authors include Marek Łoś, Swapnil Rohidas Shinde, Junjie Chen, Sudharsana Rao Ande, Emilia Wiecheć, Vivek Reddy Palicharla, Klaus Schulze‐Osthoff, Sridhar Kavela, Soumya Panigrahi and Sebastian Wesselborg. Their work appears in journals such as Journal of Cell Science, Journal of Biological Chemistry, Nature Cell Biology, Cellular Signalling and Cell Proliferation.
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.