Krishnamurthy P. Gudehithlu
- Nephrology top 5%
- Renal Diseases and Glomerulopathies 5
- Chronic Kidney Disease and Diabetes 4
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- Neuropeptides and Animal Physiology 9
- Neuroscience and Neuropharmacology Research 8
- Neurotransmitter Receptor Influence on Behavior 4
- Genetics top 10%
- Behavioral Neuroscience top 10%
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- Tissue Engineering and Regenerative Medicine 4
- Congenital Anomalies and Fetal Surgery 4
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- Pharmacological Receptor Mechanisms and Effects 3
- Co-authors
- José A.L. ArrudaGeorge DuneaAshok K. SinghNatalia O. LitbargNorton H. NeffMaria HadjiconstantinouHemendra N. BhargavaPoluru L. Reddy
- Partner nations
- United StatesIndiaSpain
In The Last Decade
Krishnamurthy P. Gudehithlu
46 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 96
- Nephrology 135
- Cellular and Molecular Neuroscience 301
- Genetics 137
- Behavioral Neuroscience 32
- Physiology 168
Countries citing papers authored by Krishnamurthy P. Gudehithlu
This map shows the geographic impact of Krishnamurthy P. Gudehithlu'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 Krishnamurthy P. Gudehithlu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Krishnamurthy P. Gudehithlu more than expected).
Fields of papers citing papers by Krishnamurthy P. Gudehithlu
This network shows the impact of papers produced by Krishnamurthy P. Gudehithlu. 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 Krishnamurthy P. Gudehithlu. The network helps show where Krishnamurthy P. Gudehithlu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Krishnamurthy P. Gudehithlu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 7 | |
| 2 | 2018 | 19 | |
| 3 | 2014 | 11 | |
| 4 | 2011 | 8 | |
| 5 | 2009 | 24 | |
| 6 | 2008 | 61 | |
| 7 | 2006 | 32 | |
| 8 | 2004 | 76 | |
| 9 | 2004 | 13 | |
| 10 | 2002 | 6 | |
| 11 | 1996 | 3 | |
| 12 | 1996 | 4 | |
| 13 | 1995 | 15 | |
| 14 | 1995 | 68 | |
| 15 | 1993 | 24 | |
| 16 | 1992 | 12 | |
| 17 | 1991 | 53 | |
| 18 | 1991 | 6 | |
| 19 | 1991 | 32 | |
| 20 | 1990 | 6 |
About Krishnamurthy P. Gudehithlu
Krishnamurthy P. Gudehithlu is a scholar working on Nephrology, Cellular and Molecular Neuroscience and Developmental Neuroscience, having authored 47 papers that have together received 1.1k indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (9 papers), Neuroscience and Neuropharmacology Research (8 papers), Renal Diseases and Glomerulopathies (5 papers), Tissue Engineering and Regenerative Medicine (4 papers), Chronic Kidney Disease and Diabetes (4 papers), Neurotransmitter Receptor Influence on Behavior (4 papers), Congenital Anomalies and Fetal Surgery (4 papers) and Pharmacological Receptor Mechanisms and Effects (3 papers). The work is most often cited by research in Nephrology (135 citations), Cellular and Molecular Neuroscience (301 citations) and Genetics (137 citations). Krishnamurthy P. Gudehithlu has collaborated with scholars based in United States, India and Spain. Frequent co-authors include José A.L. Arruda, George Dunea, Ashok K. Singh, Natalia O. Litbarg, Norton H. Neff, Maria Hadjiconstantinou, Hemendra N. Bhargava, Poluru L. Reddy, Alfredo A. Pegoraro and Gopi A. Tejwani. Their work appears in journals such as Translational research, Brain Research, Pharmacology, Cell and Tissue Research and Journal of Neurochemistry.
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.