Shankarling Krishnamurthy
- Molecular Biology top 10%
- Infectious Diseases top 2%
- Epidemiology top 10%
- Plant Science top 10%
- Oncology
- Co-authors
- Michael HampseyJoachim F. ErnstDirk P. BockmühlClaire MooreRajendra PrasadBadri Nath SinghJean‐Philippe LainéXiaoyuan He
- Topics
- Antifungal resistance and susceptibility (9 papers)Pneumocystis jirovecii pneumonia detection and treatment (5 papers)Fungal and yeast genetics research (5 papers)
- Partner nations
- United StatesIndiaGermany
In The Last Decade
Shankarling Krishnamurthy
21 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 66
- Molecular Biology 873
- Infectious Diseases 582
- Epidemiology 451
- Plant Science 185
- Oncology 145
Countries citing papers authored by Shankarling Krishnamurthy
This map shows the geographic impact of Shankarling Krishnamurthy'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 Shankarling Krishnamurthy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shankarling Krishnamurthy more than expected).
Fields of papers citing papers by Shankarling Krishnamurthy
This network shows the impact of papers produced by Shankarling Krishnamurthy. 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 Shankarling Krishnamurthy. The network helps show where Shankarling Krishnamurthy may publish in the future.
Co-authorship network of co-authors of Shankarling Krishnamurthy
This figure shows the co-authorship network connecting the top 25 collaborators of Shankarling Krishnamurthy. A scholar is included among the top collaborators of Shankarling Krishnamurthy 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 Shankarling Krishnamurthy. Shankarling Krishnamurthy 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 | 20 | |
| 3 | 66 | |
| 4 | 44 | |
| 5 | 23 | |
| 6 | 114 | |
| 7 | 16 | |
| 8 | 45 | |
| 9 | 38 | |
| 10 | 194 | |
| 11 | 39 | |
| 12 | 190 | |
| 13 | 74 | |
| 14 | 17 | |
| 15 | 167 | |
| 16 | 21 | |
| 17 | 57 | |
| 18 | 2 | |
| 19 | 75 | |
| 20 | 66 |
About Shankarling Krishnamurthy
Shankarling Krishnamurthy is a scholar working on Molecular Medicine, Infectious Diseases and Physiology, having authored 21 papers that have together received 1.3k indexed citations. Recurring topics across this work include Antifungal resistance and susceptibility (9 papers), Pneumocystis jirovecii pneumonia detection and treatment (5 papers) and Fungal and yeast genetics research (5 papers). The work is most often cited by research in Infectious Diseases (582 citations), Molecular Medicine (74 citations) and Epidemiology (451 citations). Shankarling Krishnamurthy has collaborated with scholars based in United States, India and Germany. Frequent co-authors include Michael Hampsey, Joachim F. Ernst, Dirk P. Bockmühl, Claire Moore, Rajendra Prasad, Badri Nath Singh, Jean‐Philippe Lainé, Xiaoyuan He, Thomas Doedt and Claire Russell. Their work appears in journals such as Journal of Biological Chemistry, Genes & Development and Molecular Cell.
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.