Maria Bhat

18 papers receiving 1.2k citations

Maria Bhat's Hit Papers

Skeletal Muscle PGC-1α1 Modulates Kynurenine Metabolism and Mediates Resilience to Stress-Induced Depression 2014 · 587 citations
5870+4+8Years since publication100200300400500

Peers

Maria Bhat
Comparison fields: 5 of 108
  • Biological Psychiatry 683
  • Behavioral Neuroscience 358
  • Psychiatry and Mental health 204
  • Neurology 109
  • Physiology 233
Replace Margareta Porsmyr‐Palmertz with:
Margareta Porsmyr‐Palmertz Sweden
Mei-Xue Dong China
Adam Roman Poland
Catherine N. Black Netherlands
F. Leblhuber Austria
Ivanka Mihaylova Belgium
Roger Desnyder Belgium
Aslı Sarandöl Türkiye
Katarzyna Głombik Poland
Hong Gong China
Maria Bhat relative to Margareta Porsmyr‐Palmertz Sweden Margareta Porsmyr‐Palmertz's profile →
Citations per field
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Margareta Porsmyr‐Palmertz · 1×
Citations per year

Countries citing papers authored by Maria Bhat

Since Specialization
Citations

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

Fields of papers citing papers by Maria Bhat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

19 of 19 papers shown
#Work
1
Skeletal Muscle PGC-1α1 Modulates Kynurenine Metabolism and Mediates Resilience to Stress-Induced Depression
Hit paper breakdown →
2014587
2 2015187
3 201494
4 201687
5 201564
6 200753
7 201638
8 201628
9 201624
10 201822
11 201921
12 202215
13 20247
14 20195
15 20154
16 20233
17 20193
18 20231
19
Speckle tracking during dobutamine stress echocardiogram in treadmill test positive patients with normal coronary angiogram
20200

About Maria Bhat

Maria Bhat is a scholar working on Biological Psychiatry, Behavioral Neuroscience, Psychiatry and Mental health, Surgery and Physiology, having authored 19 papers that have together received 1.2k indexed citations. Recurring topics across this work include Tryptophan and brain disorders (12 papers), Stress Responses and Cortisol (5 papers), Bipolar Disorder and Treatment (4 papers), Schizophrenia research and treatment (3 papers), Gut microbiota and health (2 papers), IL-33, ST2, and ILC Pathways (2 papers), Diet and metabolism studies (1 paper) and Foreign Body Medical Cases (1 paper). The work is most often cited by research in Biological Psychiatry (683 citations), Behavioral Neuroscience (358 citations), Psychiatry and Mental health (204 citations), Neurology (109 citations) and Physiology (233 citations). Maria Bhat has collaborated with scholars based in Sweden, United States and United Kingdom. Frequent co-authors include Sophie Erhardt, Ina Schuppe‐Koistinen, Funda Orhan, Lilly Schwieler, Michel Goiny, Jorge L. Ruas, Teresa Femenía, Margareta Porsmyr‐Palmertz, Leandro Z. Agudelo and Amanda Pettersson. Their work appears in journals such as Cell, Translational Psychiatry, Bioanalysis, Neurochemical Research and Psychiatry 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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