Sindu Krishna
- Molecular Biology top 10%
- Clinical Biochemistry top 1%
- Oncology top 10%
- Genetics
- Biochemistry top 5%
- Co-authors
- Sara ShanskeSalvatore DiMauroMichio HiranoMichelle RosadoJames E. GervasoniAlexander HindenburgKurenai TanjiAntoni L. Andreu
- Topics
- Mitochondrial Function and Pathology (16 papers)Metabolism and Genetic Disorders (13 papers)ATP Synthase and ATPases Research (5 papers)
- Partner nations
- United StatesItalyCanada
In The Last Decade
Sindu Krishna
25 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 84
- Molecular Biology 1.1k
- Clinical Biochemistry 424
- Oncology 269
- Genetics 119
- Biochemistry 113
Countries citing papers authored by Sindu Krishna
This map shows the geographic impact of Sindu Krishna'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 Sindu Krishna with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sindu Krishna more than expected).
Fields of papers citing papers by Sindu Krishna
This network shows the impact of papers produced by Sindu Krishna. 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 Sindu Krishna. The network helps show where Sindu Krishna may publish in the future.
Co-authorship network of co-authors of Sindu Krishna
This figure shows the co-authorship network connecting the top 25 collaborators of Sindu Krishna. A scholar is included among the top collaborators of Sindu Krishna 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 Sindu Krishna. Sindu Krishna is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 52 | |
| 2 | 41 | |
| 3 | 28 | |
| 4 | 16 | |
| 5 | 88 | |
| 6 | 14 | |
| 7 | 13 | |
| 8 | 33 | |
| 9 | 66 | |
| 10 | 14 | |
| 11 | 91 | |
| 12 | 138 | |
| 13 | 22 | |
| 14 | 36 | |
| 15 | Homogeneously staining region in anthracycline-resistant HL-60/AR cells not associated with MDR1 amplification. | 7 |
| 16 | 0 | |
| 17 | 7 | |
| 18 | Subcellular distribution of daunorubicin in P-glycoprotein-positive and -negative drug-resistant cell lines using laser-assisted confocal microscopy. | 151 |
| 19 | Role of glutathione and dependent enzymes in anthracycline-resistant HL60/AR cells. | 88 |
| 20 | Intracellular distribution and pharmacokinetics of daunorubicin in anthracycline-sensitive and -resistant HL-60 cells. | 122 |
About Sindu Krishna
Sindu Krishna is a scholar working on Clinical Biochemistry, Molecular Biology and Biochemistry, having authored 26 papers that have together received 1.4k indexed citations. Recurring topics across this work include Mitochondrial Function and Pathology (16 papers), Metabolism and Genetic Disorders (13 papers) and ATP Synthase and ATPases Research (5 papers). The work is most often cited by research in Clinical Biochemistry (424 citations), Molecular Biology (1.1k citations) and Biochemistry (113 citations). Sindu Krishna has collaborated with scholars based in United States, Italy and Canada. Frequent co-authors include Sara Shanske, Salvatore DiMauro, Michio Hirano, Michelle Rosado, James E. Gervasoni, Alexander Hindenburg, Kurenai Tanji, Antoni L. Andreu, Eduardo Bonilla and S. DiMauro. Their work appears in journals such as Neurology, Annals of Neurology and The FASEB Journal.
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.