A. Mokashi

89 papers receiving 1.9k citations

Peers

A. Mokashi
Comparison fields: 5 of 84
  • Endocrine and Autonomic Systems 1.5k
  • Genetics 712
  • Cardiology and Cardiovascular Medicine 472
  • Physiology 391
  • Cognitive Neuroscience 288
Replace B. Dinger with:
B. Dinger United States
L. Almaraz Spain
S. Fidone United States
Juán Ureña Spain
Sukhamay Lahiri United States
C. González Spain
Jeffrey L. Overholt United States
Robert S. Fitzgerald United States
Bruce D. Gaylinn United States
Shang Z. Guo United States
A. Mokashi relative to B. Dinger United States B. Dinger's profile →
Citations per field
00.5×1.5×
B. Dinger · 1×
Citations per year

Countries citing papers authored by A. Mokashi

Since Specialization
Citations

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

Fields of papers citing papers by A. Mokashi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 200423
2 20023
3 20025
4 20012
5 20011
6 20019
7 200066
8 200028
9 199915
10 199819
11 199816
12 199834
13 199715
14 19977
15 199714
16 19965
17 199411
18 199124
19 199016
20 198815

About A. Mokashi

A. Mokashi is a scholar working on Endocrine and Autonomic Systems, Genetics, Cardiology and Cardiovascular Medicine, Cell Biology and Cognitive Neuroscience, having authored 90 papers that have together received 1.9k indexed citations. Recurring topics across this work include Neuroscience of respiration and sleep (85 papers), High Altitude and Hypoxia (42 papers), Heart Rate Variability and Autonomic Control (27 papers), Hemoglobin structure and function (18 papers), Nitric Oxide and Endothelin Effects (14 papers), Sleep and Wakefulness Research (14 papers), Neuroscience and Neuropharmacology Research (12 papers) and Heme Oxygenase-1 and Carbon Monoxide (9 papers). The work is most often cited by research in Endocrine and Autonomic Systems (1.5k citations), Genetics (712 citations), Cardiology and Cardiovascular Medicine (472 citations), Physiology (391 citations) and Cognitive Neuroscience (288 citations). A. Mokashi has collaborated with scholars based in United States, Italy and Germany. Frequent co-authors include S. Lahiri, E. Mulligan, Sukhamay Lahiri, Takashi Nishino, Deepak K. Chugh, Rodrigo Iturriaga, Arijit Roy, Shinobu Osanai, Charmaine Rozanov and Donald G. Buerk. Their work appears in journals such as Journal of Applied Physiology, Advances in experimental medicine and biology, Brain Research, Respiratory Physiology & Neurobiology and American Journal of Physiology-Regulatory, Integrative and Comparative Physiology.

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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