Anjali Kulkarni‐Narla

785 citations
14 papers · 671 indexed · h-index 13

Anjali Kulkarni‐Narla

14 papers receiving 653 citations

Peers

Anjali Kulkarni‐Narla
Comparison fields: 5 of 84
  • Gastroenterology 101
  • Sensory Systems 79
  • Endocrine and Autonomic Systems 104
  • Pharmacology 224
  • Cellular and Molecular Neuroscience 151
Replace Luisa Seguella with:
Luisa Seguella Italy
V. Gil Spain
Dominic‐Luc Webb Sweden
Agathe Gelot France
Rocco Latorre United States
Bosheng Qiu United States
Mohsin Syed United States
Jean-Claude Cuber France
María Divina Murillo Spain
T.M. Zaved Waise Canada
Anjali Kulkarni‐Narla relative to Luisa Seguella Italy Luisa Seguella's profile →
Citations per field
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Citations per year

Countries citing papers authored by Anjali Kulkarni‐Narla

Since Specialization
Citations

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

Fields of papers citing papers by Anjali Kulkarni‐Narla

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Anjali Kulkarni‐Narla. 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 Anjali Kulkarni‐Narla. The network helps show where Anjali Kulkarni‐Narla may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Anjali Kulkarni‐Narla, 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 Anjali Kulkarni‐Narla Line = papers co-authored together Anjali Kulkarni‐Narla links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1 200473
2 200373
3 200230
4 20021
5 200257
6 200275
7 200117
8 200136
9 2000111
10 200065
11 199960
12 199717
13 199620
14 199536

About Anjali Kulkarni‐Narla

Anjali Kulkarni‐Narla is a scholar working on Sensory Systems, Gastroenterology, Endocrine and Autonomic Systems, Cellular and Molecular Neuroscience and Behavioral Neuroscience, having authored 14 papers that have together received 671 indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (6 papers), Cannabis and Cannabinoid Research (4 papers), Gastrointestinal motility and disorders (3 papers), Neuroscience of respiration and sleep (3 papers), Clostridium difficile and Clostridium perfringens research (2 papers), Olfactory and Sensory Function Studies (2 papers), Stress Responses and Cortisol (1 paper) and Mast cells and histamine (1 paper). The work is most often cited by research in Gastroenterology (101 citations), Sensory Systems (79 citations), Endocrine and Autonomic Systems (104 citations), Pharmacology (224 citations) and Cellular and Molecular Neuroscience (151 citations). Anjali Kulkarni‐Narla has collaborated with scholars based in United States, Australia and Italy. Frequent co-authors include David R. Brown, Benedict T. Green, Mark Lyte, Alvin J. Beitz, Sutthasinee Poonyachoti, Marilyn L. Getchell, Thomas V. Getchell, Nigel W. Bunnett, Martin Steinhoff and Gabriella Coruzzi. Their work appears in journals such as Cell and Tissue Research, Experimental Neurology, The Journal of Immunology, Journal of Pharmacology and Experimental Therapeutics and Advances in experimental medicine and biology.

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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