M. Kalia

28 papers receiving 833 citations

Peers

M. Kalia
Comparison fields: 5 of 75
  • Endocrine and Autonomic Systems 442
  • Cellular and Molecular Neuroscience 380
  • Behavioral Neuroscience 66
  • Pharmacy 39
  • Neurology 68
Replace S González–Barón with:
S González–Barón Spain
Y. Hosoya Japan
Ida Llewellyn‐Smith Australia
Kazuyoshi Otake Japan
Wesley P. Norman United States
Jane Minson Australia
Monica M. Caverson Canada
Sima Mraovitch France
Timothy W. Bailey United States
Shoichiro Nosaka Japan
M. Kalia relative to S González–Barón Spain S González–Barón's profile →
Citations per field
00.5×2.8×
S González–Barón · 1×
Citations per year

Countries citing papers authored by M. Kalia

Since Specialization
Citations

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

Fields of papers citing papers by M. Kalia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1981119
2
Central projections from ergoreceptors (C fibers) in muscle involved in cardiopulmonary responses to static exercise.
198197
3 198794
4 198263
5 198762
6 198961
7
Neuroanatomical organization of the respiratory centers.
197754
8 198449
9 198746
10 199133
11 199028
12 198424
13 199323
14 197620
15 199019
16 199215
17
Neurohistochemical methods in tracing central respiratory mechanisms.
198112
18 202312
19 20095
20 19865

About M. Kalia

M. Kalia is a scholar working on Endocrine and Autonomic Systems, Cellular and Molecular Neuroscience, Molecular Biology, Pulmonary and Respiratory Medicine and Physiology, having authored 28 papers that have together received 865 indexed citations. Recurring topics across this work include Neuroscience of respiration and sleep (14 papers), Neuropeptides and Animal Physiology (8 papers), Receptor Mechanisms and Signaling (4 papers), Pain Mechanisms and Treatments (3 papers), Respiratory Support and Mechanisms (2 papers), Infant Health and Development (2 papers), Neonatal and fetal brain pathology (2 papers) and Neonatal Respiratory Health Research (2 papers). The work is most often cited by research in Endocrine and Autonomic Systems (442 citations), Cellular and Molecular Neuroscience (380 citations), Behavioral Neuroscience (66 citations), Pharmacy (39 citations) and Neurology (68 citations). M. Kalia has collaborated with scholars based in United States, Sweden and Italy. Frequent co-authors include Kjell Fuxé, L.F. Agnati, Frederick F. Kao, Shaojun Mei, William Pugh, Lars Terenius, M. Goldstein, Anders Härfstrand, Beth Andbjer and L. F. Agnati. Their work appears in journals such as Journal of Applied Physiology, The Journal of Comparative Neurology, European Journal of Neuroscience, Journal of Histochemistry & Cytochemistry and Brain Research.

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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