Lata Venkataraman
- Infectious Diseases top 0.5%
- Clinical Biochemistry top 0.2%
- Molecular Biology top 10%
- Molecular Medicine top 0.5%
- Epidemiology top 5%
- Co-authors
- Paola C. DeGirolamiHoward S. GoldGeorge M. EliopoulosMatthew H. SamoreGeorge SakoulasRobert C. MoelleringChristine WennerstenAdolf W. Karchmer
- Topics
- Antimicrobial Resistance in Staphylococcus (21 papers)Bacterial Identification and Susceptibility Testing (11 papers)Antibiotic Resistance in Bacteria (11 papers)
- Partner nations
- United StatesIsraelSwitzerland
In The Last Decade
Lata Venkataraman
34 papers receiving 2.4k citations
Peers
Comparison fields: 5 of 103
- Infectious Diseases 1.9k
- Clinical Biochemistry 940
- Molecular Biology 831
- Molecular Medicine 583
- Epidemiology 549
Countries citing papers authored by Lata Venkataraman
This map shows the geographic impact of Lata Venkataraman'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 Lata Venkataraman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lata Venkataraman more than expected).
Fields of papers citing papers by Lata Venkataraman
This network shows the impact of papers produced by Lata Venkataraman. 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 Lata Venkataraman. The network helps show where Lata Venkataraman may publish in the future.
Co-authorship network of co-authors of Lata Venkataraman
This figure shows the co-authorship network connecting the top 25 collaborators of Lata Venkataraman. A scholar is included among the top collaborators of Lata Venkataraman 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 Lata Venkataraman. Lata Venkataraman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 65 | |
| 2 | 52 | |
| 3 | 31 | |
| 4 | 118 | |
| 5 | 11 | |
| 6 | 184 | |
| 7 | 69 | |
| 8 | 1 | |
| 9 | 104 | |
| 10 | 157 | |
| 11 | 44 | |
| 12 | 39 | |
| 13 | 158 | |
| 14 | 53 | |
| 15 | 19 | |
| 16 | 49 | |
| 17 | 16 | |
| 18 | 52 | |
| 19 | 264 | |
| 20 | 23 |
About Lata Venkataraman
Lata Venkataraman is a scholar working on Molecular Medicine, Clinical Biochemistry and Infectious Diseases, having authored 34 papers that have together received 2.5k indexed citations. Recurring topics across this work include Antimicrobial Resistance in Staphylococcus (21 papers), Bacterial Identification and Susceptibility Testing (11 papers) and Antibiotic Resistance in Bacteria (11 papers). The work is most often cited by research in Clinical Biochemistry (940 citations), Molecular Medicine (583 citations) and Applied Microbiology and Biotechnology (208 citations). Lata Venkataraman has collaborated with scholars based in United States, Israel and Switzerland. Frequent co-authors include Paola C. DeGirolami, Howard S. Gold, George M. Eliopoulos, Matthew H. Samore, George Sakoulas, Robert C. Moellering, Christine Wennersten, Adolf W. Karchmer, Satish K. Pillai and Richard P. Novick. Their work appears in journals such as Nature, Clinical Infectious Diseases and The American Journal of Medicine.
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.