Mar Grasa
Impact in
- Behavioral Neuroscience top 5%
- Stress Responses and Cortisol
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- Hormonal and reproductive studies
- Hormonal Regulation and Hypertension
- Adrenal Hormones and Disorders
Papers in
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- Hormonal and reproductive studies 8
- Hormonal Regulation and Hypertension 6
- Adrenal Hormones and Disorders 3
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- Regulation of Appetite and Obesity 10
- Co-authors
- M. Alemany (20 shared papers)José–Antonio Fernández–Löpez (18 shared papers)Montserrat Esteve (18 shared papers)Xavier Remesar (15 shared papers)José Manuel Fernández‐Real (3 shared papers)Wifredo Ricart (2 shared papers)Michel Pugeat (2 shared papers)Cristina Cabot (11 shared papers)
In The Last Decade
Mar Grasa
34 papers receiving 533 citations
Peers
Comparison fields: 5 of 70
- Behavioral Neuroscience 90
- Endocrinology, Diabetes and Metabolism 192
- Endocrine and Autonomic Systems 78
- Physiology 147
- Nutrition and Dietetics 48
Countries citing papers authored by Mar Grasa
This map shows the geographic impact of Mar Grasa'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 Mar Grasa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mar Grasa more than expected).
Fields of papers citing papers by Mar Grasa
This network shows the impact of papers produced by Mar Grasa. 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 Mar Grasa. The network helps show where Mar Grasa may publish in the future.
Co-authors
The 25 scholars most cited alongside Mar Grasa, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2002 | 93 | |
| 2 | 1999 | 44 | |
| 3 | 1997 | 40 | |
| 4 | 2007 | 34 | |
| 5 | 2017 | 30 | |
| 6 | 2001 | 22 | |
| 7 | 2014 | 22 | |
| 8 | 2001 | 20 | |
| 9 | 2019 | 20 | |
| 10 | 1998 | 19 | |
| 11 | 1998 | 19 | |
| 12 | 2019 | 18 | |
| 13 | Leptin concentrations do not correlate with fat mass nor with metabolic risk factors in morbidly obese females. | 2001 | 16 |
| 14 | 2016 | 14 | |
| 15 | 2016 | 13 | |
| 16 | 2007 | 12 | |
| 17 | 2022 | 12 | |
| 18 | 1998 | 11 | |
| 19 | 2000 | 11 | |
| 20 | 2016 | 10 |
About Mar Grasa
Mar Grasa is a scholar working on Endocrinology, Diabetes and Metabolism, Endocrine and Autonomic Systems, Physiology, Behavioral Neuroscience and Epidemiology, having authored 34 papers that have together received 547 indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (10 papers), Regulation of Appetite and Obesity (10 papers), Stress Responses and Cortisol (9 papers), Hormonal and reproductive studies (8 papers), Hormonal Regulation and Hypertension (6 papers), Adipokines, Inflammation, and Metabolic Diseases (4 papers), Biochemical Analysis and Sensing Techniques (3 papers) and Adrenal Hormones and Disorders (3 papers). The work is most often cited by research in Behavioral Neuroscience (90 citations), Endocrinology, Diabetes and Metabolism (192 citations), Endocrine and Autonomic Systems (78 citations), Physiology (147 citations) and Nutrition and Dietetics (48 citations). Mar Grasa has collaborated with scholars based in Spain, Italy and Argentina. Frequent co-authors include M. Alemany, José–Antonio Fernández–Löpez, Montserrat Esteve, Xavier Remesar, José Manuel Fernández‐Real, Wifredo Ricart, Michel Pugeat, Cristina Cabot, María del Mar Romero and Montserrat Broch. Their work appears in journals such as PLoS ONE, Obesity, Molecular and Cellular Biochemistry, The Journal of Clinical Endocrinology & Metabolism and Life Sciences.
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.