Chaya Chintamaneni

512 citations
10 papers · 429 indexed · h-index 9

Chaya Chintamaneni

10 papers receiving 414 citations

Peers

Chaya Chintamaneni
Comparison fields: 5 of 56
  • Cell Biology 263
  • Molecular Biology 260
  • Nutrition and Dietetics 161
  • Immunology 73
  • Genetics 44
Replace Bao-Kang Zhou with:
Bao-Kang Zhou United States
Elodie Le Pape United States
Tomohisa Hirobe Japan
Fabien Murisier Switzerland
Kazutomo Toyofuku Japan
Perrine Pennamen France
Karolien Van Den Bossche Belgium
Hao Chang United States
Ekaterina Vasileva Switzerland
Anne‐Sophie Macé France
Chaya Chintamaneni relative to Bao-Kang Zhou United States Bao-Kang Zhou's profile →
Citations per field
00.5×1.5×
Bao-Kang Zhou · 1×
Citations per year

Countries citing papers authored by Chaya Chintamaneni

Since Specialization
Citations

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

Fields of papers citing papers by Chaya Chintamaneni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chaya Chintamaneni

This figure shows the co-authorship network connecting the top 25 collaborators of Chaya Chintamaneni. A scholar is included among the top collaborators of Chaya Chintamaneni 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 Chaya Chintamaneni. Chaya Chintamaneni is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
#WorkIndexed citations
1 18
2 36
3 63
4
Molecular analyses of a tyrosinase-negative albino family.
18
5
Tyrosinase exhibits lag at pH 6.8 under steady state concentrations of tyrosine and 3,4-dihydroxy phenyl alanine in melanoma tissue.
1
6 30
7 134
8 41
9 29
10 59

About Chaya Chintamaneni

Chaya Chintamaneni is a scholar working on Cell Biology, Nutrition and Dietetics and Molecular Biology, having authored 10 papers that have together received 429 indexed citations. Recurring topics across this work include melanin and skin pigmentation (7 papers), Biochemical Analysis and Sensing Techniques (4 papers) and RNA regulation and disease (3 papers). The work is most often cited by research in Cell Biology (263 citations), Nutrition and Dietetics (161 citations) and Sensory Systems (35 citations). Chaya Chintamaneni has collaborated with scholars based in United States, United Kingdom and Netherlands. Frequent co-authors include Byoung S. Kwon, Ruth Halaban, Yvonne M. Kobayashi, Christine A. Kozak, Richard T. Pickard, Andrew K. Vershon, Uta Francke, Valérie Gailus‐Durner, N.A. Jenkins and Debra J. Gilbert. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and The Journal of Experimental Medicine.

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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