Shashi Bala
- Molecular Biology top 2%
- Cancer Research top 0.5%
- Epidemiology top 1%
- Immunology top 2%
- Pathology and Forensic Medicine top 0.5%
- Co-authors
- Gyöngyi SzabóKaren KodysFatemeh Momen‐HeraviDonna CatalanoTímea CsákJan PetrášekDora LippaiTerence N. Bukong
- Topics
- MicroRNA in disease regulation (23 papers)Liver Disease Diagnosis and Treatment (16 papers)Circular RNAs in diseases (15 papers)
- Journals
- Journal of Biological ChemistryJournal of Clinical InvestigationSHILAP Revista de lepidopterología
- Partner nations
- United StatesIndiaMalaysia
In The Last Decade
Shashi Bala
82 papers receiving 7.0k citations
Hit Papers
Peers
Comparison fields: 5 of 132
- Molecular Biology 3.5k
- Cancer Research 2.4k
- Epidemiology 2.2k
- Immunology 1.3k
- Pathology and Forensic Medicine 1.2k
Countries citing papers authored by Shashi Bala
This map shows the geographic impact of Shashi Bala'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 Shashi Bala with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shashi Bala more than expected).
Fields of papers citing papers by Shashi Bala
This network shows the impact of papers produced by Shashi Bala. 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 Shashi Bala. The network helps show where Shashi Bala may publish in the future.
Co-authorship network of co-authors of Shashi Bala
This figure shows the co-authorship network connecting the top 25 collaborators of Shashi Bala. A scholar is included among the top collaborators of Shashi Bala 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 Shashi Bala. Shashi Bala is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 18 | |
| 2 | 47 | |
| 3 | 17 | |
| 4 | 16 | |
| 5 | 23 | |
| 6 | 21 | |
| 7 | 48 | |
| 8 | 244 | |
| 9 | 239 | |
| 10 | MicroRNAs in liver diseasebreakdown → | 490 |
| 11 | Minimal Differentiation of Classical Monocytes as They Survey Steady-State Tissues and Transport Antigen to Lymph Nodesbreakdown → | 564 |
| 12 | Circulating microRNAs in exosomes indicate hepatocyte injury and inflammation in alcoholic, drug-induced, and inflammatory liver diseasesbreakdown → | 525 |
| 13 | 125 | |
| 14 | 141 | |
| 15 | 47 | |
| 16 | 126 | |
| 17 | 159 | |
| 18 | CYCLIN D1 as a genetic modifier in hereditary nonpolyposis colorectal cancer. | 84 |
| 19 | 13 | |
| 20 | 24 |
About Shashi Bala
Shashi Bala is a scholar working on Cancer Research, Pathology and Forensic Medicine and Hepatology, having authored 83 papers that have together received 7.1k indexed citations. Recurring topics across this work include MicroRNA in disease regulation (23 papers), Liver Disease Diagnosis and Treatment (16 papers) and Circular RNAs in diseases (15 papers). The work is most often cited by research in Cancer Research (2.4k citations), Hepatology (918 citations) and Pathology and Forensic Medicine (1.2k citations). Shashi Bala has collaborated with scholars based in United States, India and Malaysia. Frequent co-authors include Gyöngyi Szabó, Karen Kodys, Fatemeh Momen‐Heravi, Donna Catalano, Tímea Csák, Jan Petrášek, Dora Lippai, Terence N. Bukong, Miguel Marcos and Evelyn A. Kurt‐Jones. Their work appears in journals such as Journal of Biological Chemistry, Journal of Clinical Investigation and SHILAP Revista de lepidopterología.
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.