Shankarling Krishnamurthy

1.6k citations
21 papers · 1.3k · h-index 18

Impact in

Papers in

    • Fungal and yeast genetics research 5
    • Genomics and Chromatin Dynamics 5
    • RNA Research and Splicing 5
    • RNA and protein synthesis mechanisms 3
    • Antifungal resistance and susceptibility 9

Shankarling Krishnamurthy

21 papers receiving 1.3k citations

Peers

Shankarling Krishnamurthy
Comparison fields: 5 of 66
  • Infectious Diseases 582
  • Molecular Medicine 74
  • Epidemiology 451
  • Molecular Biology 873
  • Oncology 145
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Preeti Saini India
Burkhard R Braun United States
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Citations per field
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Citations per year

Countries citing papers authored by Shankarling Krishnamurthy

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

The 25 scholars most cited alongside Shankarling Krishnamurthy, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Shankarling Krishnamurthy Line = papers co-authored together Shankarling Krishnamurthy links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004194
2 2004190
3 2001167
4 2009114
5 199875
6 200374
7 201066
8 199866
9 199957
10 200447
11 200545
12 200944
13 200439
14 200538
15 200923
16 200121
17 201120
18 202118
19 200117
20 200716

About Shankarling Krishnamurthy

Shankarling Krishnamurthy is a scholar working on Molecular Biology, Infectious Diseases, Epidemiology, Molecular Medicine and Oncology, 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), Fungal and yeast genetics research (5 papers), Genomics and Chromatin Dynamics (5 papers), RNA Research and Splicing (5 papers), Antibiotic Resistance in Bacteria (4 papers), RNA and protein synthesis mechanisms (3 papers) and Drug Transport and Resistance Mechanisms (3 papers). The work is most often cited by research in Infectious Diseases (582 citations), Molecular Medicine (74 citations), Epidemiology (451 citations), Molecular Biology (873 citations) and Oncology (145 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, Rajendra Prasad, Claire Moore, Jean‐Philippe Lainé, Badri Nath Singh, Xiaoyuan He, Thomas Doedt and Claire Russell. Their work appears in journals such as Yeast, Journal of Biological Chemistry, Molecular Microbiology, Current Biology and Microbiology.

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.

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