Anil Kachroo

975 total citations
13 papers, 800 citations indexed

About

Anil Kachroo is a scholar working on Cellular and Molecular Neuroscience, Neurology and Endocrine and Autonomic Systems. According to data from OpenAlex, Anil Kachroo has authored 13 papers receiving a total of 800 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Cellular and Molecular Neuroscience, 4 papers in Neurology and 4 papers in Endocrine and Autonomic Systems. Recurrent topics in Anil Kachroo's work include Adenosine and Purinergic Signaling (4 papers), Parkinson's Disease Mechanisms and Treatments (4 papers) and Neuroscience of respiration and sleep (4 papers). Anil Kachroo is often cited by papers focused on Adenosine and Purinergic Signaling (4 papers), Parkinson's Disease Mechanisms and Treatments (4 papers) and Neuroscience of respiration and sleep (4 papers). Anil Kachroo collaborates with scholars based in United States, Italy and Japan. Anil Kachroo's co-authors include Michael A. Schwarzschild, Hreday N. Sapru, Anna R. Carta, Micaela Morelli, Michael C. Irizarry, Jiang‐Fan Chen, David K. Grandy, Lianna Orlando, Anne B. Young and Vineet C. Chitravanshi and has published in prestigious journals such as Journal of Neuroscience, Annals of Neurology and Brain Research.

In The Last Decade

Anil Kachroo

13 papers receiving 791 citations

Peers

Anil Kachroo
Erhan Ergene United States
Ida Llewellyn‐Smith Australia
Takashi Akasu Japan
Paulette B. Goforth United States
H. K. Proudfit United States
Lı́gia Araujo Naves Brazil
H. Inokuchi Japan
Vineet C. Chitravanshi United States
T Thomas United Kingdom
V. Raghavendra India
Erhan Ergene United States
Anil Kachroo
Citations per year, relative to Anil Kachroo Anil Kachroo (= 1×) peers Erhan Ergene

Countries citing papers authored by Anil Kachroo

Since Specialization
Citations

This map shows the geographic impact of Anil Kachroo'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 Anil Kachroo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anil Kachroo more than expected).

Fields of papers citing papers by Anil Kachroo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Anil Kachroo. 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 Anil Kachroo. The network helps show where Anil Kachroo may publish in the future.

Co-authorship network of co-authors of Anil Kachroo

This figure shows the co-authorship network connecting the top 25 collaborators of Anil Kachroo. A scholar is included among the top collaborators of Anil Kachroo 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 Anil Kachroo. Anil Kachroo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

13 of 13 papers shown
1.
Kachroo, Anil & Michael A. Schwarzschild. (2014). Allopurinol reduces levels of urate and dopamine but not dopaminergic neurons in a dual pesticide model of Parkinson׳s disease. Brain Research. 1563. 103–109. 13 indexed citations
2.
Kachroo, Anil & Michael A. Schwarzschild. (2011). Adenosine A2A receptor gene disruption protects in an α‐synuclein model of Parkinson's disease. Annals of Neurology. 71(2). 278–282. 70 indexed citations
3.
Black, Yolanda D., et al.. (2010). Protective effect of metabotropic glutamate mGluR5 receptor elimination in a 6-hydroxydopamine model of Parkinson's disease. Neuroscience Letters. 486(3). 161–165. 27 indexed citations
4.
Morelli, Micaela, Anna R. Carta, Anil Kachroo, & Michael A. Schwarzschild. (2010). Pathophysiological roles for purines. Progress in brain research. 183. 183–208. 78 indexed citations
5.
Kachroo, Anil, Michael C. Irizarry, & Michael A. Schwarzschild. (2010). Caffeine protects against combined paraquat and maneb-induced dopaminergic neuron degeneration. Experimental Neurology. 223(2). 657–661. 60 indexed citations
6.
Carta, Anna R., Anil Kachroo, Nicoletta Schintu, et al.. (2009). Inactivation of neuronal forebrain A2A receptors protects dopaminergic neurons in a mouse model of Parkinson’s disease. Journal of Neurochemistry. 111(6). 1478–1489. 49 indexed citations
7.
Quiroz, César, Rafael Luján, Motokazu Uchigashima, et al.. (2009). Key Modulatory Role of Presynaptic Adenosine A2AReceptors in Cortical Neurotransmission to the Striatal Direct Pathway. The Scientific World JOURNAL. 9. 1321–1344. 76 indexed citations
8.
Kachroo, Anil, Lianna Orlando, David K. Grandy, et al.. (2005). Interactions between Metabotropic Glutamate 5 and Adenosine A2AReceptors in Normal and Parkinsonian Mice. Journal of Neuroscience. 25(45). 10414–10419. 112 indexed citations
9.
Chitravanshi, Vineet C., Anil Kachroo, & Hreday N. Sapru. (1994). A midline area in the nucleus commissuralis of NTS mediates the phrenic nerve responses to carotid chemoreceptor stimulation. Brain Research. 662(1-2). 127–133. 55 indexed citations
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12.
Kachroo, Anil, et al.. (1993). Excitatory amino acid receptors in commissural nucleus of the NTS mediate carotid chemoreceptor responses. American Journal of Physiology-Regulatory, Integrative and Comparative Physiology. 264(1). R41–R50. 161 indexed citations
13.
Kachroo, Anil, et al.. (1993). Cardiac effects of injections of epinephrine into the spinal intermediolateral column. American Journal of Physiology-Heart and Circulatory Physiology. 265(2). H633–H641. 11 indexed citations

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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