Malini Laloraya
- Molecular Biology
- Immunology top 5%
- Reproductive Medicine top 1%
- Plant Science top 5%
- Public Health, Environmental and Occupational Health top 5%
- Co-authors
- Pradeep G. KumarManmohan M. LalorayaSharad PurohitRajesh Kumar JhaAbdoreza Davoodi‐SemiromiJin‐Xiong SheDeeksha SaxenaK. N. Guruprasad
- Topics
- Reproductive Biology and Fertility (25 papers)Sperm and Testicular Function (24 papers)Reproductive System and Pregnancy (18 papers)
- Partner nations
- IndiaUnited StatesAustralia
In The Last Decade
Malini Laloraya
141 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 116
- Molecular Biology 569
- Immunology 472
- Reproductive Medicine 458
- Plant Science 367
- Public Health, Environmental and Occupational Health 359
Countries citing papers authored by Malini Laloraya
This map shows the geographic impact of Malini Laloraya'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 Malini Laloraya with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Malini Laloraya more than expected).
Fields of papers citing papers by Malini Laloraya
This network shows the impact of papers produced by Malini Laloraya. 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 Malini Laloraya. The network helps show where Malini Laloraya may publish in the future.
Co-authorship network of co-authors of Malini Laloraya
This figure shows the co-authorship network connecting the top 25 collaborators of Malini Laloraya. A scholar is included among the top collaborators of Malini Laloraya 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 Malini Laloraya. Malini Laloraya is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 20 | |
| 2 | 26 | |
| 3 | 7 | |
| 4 | 8 | |
| 5 | Identification of Testis-Expressed Cell Cycle Regulating Proteins with Special Reference to Meiosis | 2 |
| 6 | 10 | |
| 7 | 17 | |
| 8 | 12 | |
| 9 | 7 | |
| 10 | 4 | |
| 11 | 15 | |
| 12 | 39 | |
| 13 | Role of ions and ion channels in capacitation and acrosome reaction of spermatozoa. | 9 |
| 14 | 10 | |
| 15 | 11 | |
| 16 | 2 | |
| 17 | 17 | |
| 18 | 6 | |
| 19 | 21 | |
| 20 | 12 |
About Malini Laloraya
Malini Laloraya is a scholar working on Reproductive Medicine, Plant Science and Immunology, having authored 143 papers that have together received 1.8k indexed citations. Recurring topics across this work include Reproductive Biology and Fertility (25 papers), Sperm and Testicular Function (24 papers) and Reproductive System and Pregnancy (18 papers). The work is most often cited by research in Reproductive Medicine (458 citations), Immunology (472 citations) and Endocrinology, Diabetes and Metabolism (222 citations). Malini Laloraya has collaborated with scholars based in India, United States and Australia. Frequent co-authors include Pradeep G. Kumar, Manmohan M. Laloraya, Sharad Purohit, Rajesh Kumar Jha, Abdoreza Davoodi‐Semiromi, Jin‐Xiong She, Deeksha Saxena, K. N. Guruprasad, Shiny Titus and Manish Nivsarkar. Their work appears in journals such as Nature, Science and Journal of Biological Chemistry.
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.