Carmine Coscia

4.5k citations
123 papers · 3.4k indexed · h-index 36
Topics
Neuropeptides and Animal Physiology (68 papers)Receptor Mechanisms and Signaling (55 papers)Pharmacological Receptor Mechanisms and Effects (28 papers)

In The Last Decade

Carmine Coscia

123 papers receiving 3.3k citations

Peers

Carmine Coscia
Comparison fields: 5 of 112
  • Molecular Biology 2.4k
  • Cellular and Molecular Neuroscience 1.8k
  • Physiology 387
  • Pharmacology 376
  • Plant Science 334
Replace Tadimeti S. Rao with:
Tadimeti S. Rao United States
Toshihiro Dohi Japan
Kwang Ho Ko South Korea
Tohru Yamakuni Japan
Markus Schmutz Switzerland
Patricia C. Contreras United States
Edward R. Whittemore United States
George B. Koelle United States
Rodrigo Bainy Leal Brazil
Georgina Rodrı́guez de Lores Arnaiz Argentina
Carmine Coscia relative to Tadimeti S. Rao United States Tadimeti S. Rao's profile →
Citations per field
00.5×3.1×
Tadimeti S. Rao · 1×
Citations per year

Countries citing papers authored by Carmine Coscia

Since Specialization
Citations

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

Fields of papers citing papers by Carmine Coscia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Carmine Coscia

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 38
2 36
3 145
4 45
5 9
6 10
7 18
8 29
9 16
10 5
11 23
12 55
13 21
14 9
15 7
16 9
17 35
18 23
19 36
20 9

About Carmine Coscia

Carmine Coscia is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Developmental Neuroscience, having authored 123 papers that have together received 3.4k indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (68 papers), Receptor Mechanisms and Signaling (55 papers) and Pharmacological Receptor Mechanisms and Effects (28 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.8k citations), Developmental Neuroscience (160 citations) and Molecular Biology (2.4k citations). Carmine Coscia has collaborated with scholars based in United States, Israel and Hungary. Frequent co-authors include Mariana M. Belcheva, Jacob Barg, K. M. Madyastha, Laura Bohn, Thomas Meehan, Bryan L. Roth, Mária Szűcs, Alexi Kiss, Frank E. Johnson and James Spain. Their work appears in journals such as Nature, Science and Journal of the American Chemical Society.

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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