Gracious R. Ross

1.3k citations
49 papers · 1.0k indexed · h-index 19
Topics
Neuropeptides and Animal Physiology (9 papers)Cardiac Fibrosis and Remodeling (9 papers)Receptor Mechanisms and Signaling (8 papers)
Journals
SHILAP Revista de lepidopterologíaJournal of the American College of CardiologyPLoS ONE

In The Last Decade

Gracious R. Ross

45 papers receiving 985 citations

Peers

Gracious R. Ross
Comparison fields: 5 of 97
  • Molecular Biology 379
  • Cellular and Molecular Neuroscience 290
  • Cardiology and Cardiovascular Medicine 209
  • Physiology 179
  • Surgery 135
Replace Amal K. Mukhopadhyay with:
Amal K. Mukhopadhyay Germany
Anatoly Shmygol United Kingdom
Pierre Hickel France
Zhaohui Wang United States
Theodor Burdyga United Kingdom
Jian Xie United States
Danuta H. Malinowska United States
Timothy D. Westfall United Kingdom
Birgitte Mønster Christensen Denmark
Fiona C. Britton United States
Gracious R. Ross relative to Amal K. Mukhopadhyay Germany Amal K. Mukhopadhyay's profile →
Citations per field
00.5×5.3×
Amal K. Mukhopadhyay · 1×
Citations per year

Countries citing papers authored by Gracious R. Ross

Since Specialization
Citations

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

Fields of papers citing papers by Gracious R. Ross

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gracious R. Ross. 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 Gracious R. Ross. The network helps show where Gracious R. Ross may publish in the future.

Co-authorship network of co-authors of Gracious R. Ross

This figure shows the co-authorship network connecting the top 25 collaborators of Gracious R. Ross. A scholar is included among the top collaborators of Gracious R. Ross 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 Gracious R. Ross. Gracious R. Ross 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 27
2 4
3 3
4 19
5 18
6 5
7 1
8 1
9 1
10 72
11 16
12 28
13 93
14 50
15 35
16 71
17 25
18 17
19 14
20 25

About Gracious R. Ross

Gracious R. Ross is a scholar working on Cardiology and Cardiovascular Medicine, Cellular and Molecular Neuroscience and Sensory Systems, having authored 49 papers that have together received 1.0k indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (9 papers), Cardiac Fibrosis and Remodeling (9 papers) and Receptor Mechanisms and Signaling (8 papers). The work is most often cited by research in Gastroenterology (90 citations), Cellular and Molecular Neuroscience (290 citations) and Sensory Systems (55 citations). Gracious R. Ross has collaborated with scholars based in United States, Russia and United Kingdom. Frequent co-authors include Hamid I. Akbarali, William L. Dewey, Farhan Rizvi, Chandra Yallampalli, Larisa Emelyanova, Minho Kang, Ekhson Holmuhamedov, Arshad Jahangir, Bichoy H. Gabra and A. Jamil Tajik. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of the American College of Cardiology and PLoS ONE.

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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