Agata Chandran

8 total papers · 1.0k total citations
6 papers, 850 citations indexed

About

Agata Chandran is a scholar working on Cellular and Molecular Neuroscience, Pharmacology and Biological Psychiatry. According to data from OpenAlex, Agata Chandran has authored 6 papers receiving a total of 850 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Cellular and Molecular Neuroscience, 3 papers in Pharmacology and 2 papers in Biological Psychiatry. Recurrent topics in Agata Chandran's work include Treatment of Major Depression (3 papers), Neuroscience and Neuropharmacology Research (3 papers) and Tryptophan and brain disorders (2 papers). Agata Chandran is often cited by papers focused on Treatment of Major Depression (3 papers), Neuroscience and Neuropharmacology Research (3 papers) and Tryptophan and brain disorders (2 papers). Agata Chandran collaborates with scholars based in United States and Poland. Agata Chandran's co-authors include Beata Karolewicz, Craig A. Stockmeier, Anteneh M. Feyissa, Abiye H. Iyo, Mark C. Austin, Dharmendra B. Goswami, Beata Legutko, Warren L. May, Ewa Wypasek and Agnieszka Wacnik and has published in prestigious journals such as The FASEB Journal, Progress in Neuro-Psychopharmacology and Biological Psychiatry and Quaternary International.

In The Last Decade

Agata Chandran

5 papers receiving 841 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Agata Chandran	438	427	324	197	176	6	850
Daniel C. Mathews	298 0.7×	409 1.0×	430 1.3×	95 0.5×	127 0.7×	13	818
Santosh Pothula	509 1.2×	368 0.9×	361 1.1×	129 0.7×	178 1.0×	15	834
Lesa Dieter	283 0.6×	324 0.8×	148 0.5×	221 1.1×	209 1.2×	16	900
Jianan Li	384 0.9×	386 0.9×	111 0.3×	205 1.0×	243 1.4×	3	826
Hongshi Qi	363 0.8×	181 0.4×	129 0.4×	158 0.8×	243 1.4×	10	712
Pierre‐Alain Boyer	321 0.7×	208 0.5×	144 0.4×	176 0.9×	142 0.8×	16	719
Nadia Sahir	391 0.9×	246 0.6×	121 0.4×	174 0.9×	237 1.3×	12	943
Margherita Molnar	494 1.1×	307 0.7×	103 0.3×	144 0.7×	308 1.8×	10	933
Jaime G. Maldonado‐Avilés	484 1.1×	293 0.7×	109 0.3×	201 1.0×	327 1.9×	10	1000
Lyonna F. Alcantara	241 0.6×	288 0.7×	130 0.4×	416 2.1×	120 0.7×	10	763

Countries citing papers authored by Agata Chandran

Since Specialization

Citations

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

Fields of papers citing papers by Agata Chandran

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Agata Chandran

This figure shows the co-authorship network connecting the top 25 collaborators of Agata Chandran. A scholar is included among the top collaborators of Agata Chandran based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Agata Chandran. Agata Chandran is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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