Melissa Skibba

684 total citations
21 papers, 547 citations indexed

About

Melissa Skibba is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Oncology. According to data from OpenAlex, Melissa Skibba has authored 21 papers receiving a total of 547 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 5 papers in Cardiology and Cardiovascular Medicine and 5 papers in Oncology. Recurrent topics in Melissa Skibba's work include Fibroblast Growth Factor Research (5 papers), Peptidase Inhibition and Analysis (4 papers) and Eicosanoids and Hypertension Pharmacology (3 papers). Melissa Skibba is often cited by papers focused on Fibroblast Growth Factor Research (5 papers), Peptidase Inhibition and Analysis (4 papers) and Eicosanoids and Hypertension Pharmacology (3 papers). Melissa Skibba collaborates with scholars based in United States, China and Macao. Melissa Skibba's co-authors include Guang Liang, Allan R. Brasier, Jie Hu, Hon Fai Chan, Jinming Zhang, Meiwan Chen, Yi Tan, Xiaokun Li, Xin Jiang and Ying Xin and has published in prestigious journals such as Nucleic Acids Research, PLoS ONE and International Journal of Molecular Sciences.

In The Last Decade

Melissa Skibba

21 papers receiving 543 citations

Peers

Melissa Skibba
Comparison fields: 5 of 82
  • Molecular Biology 242
  • Biomaterials 74
  • Pulmonary and Respiratory Medicine 68
  • Cardiology and Cardiovascular Medicine 62
  • Epidemiology 59
Replace Ziwei Du with:
Ziwei Du China
Xinrui Zhao China
Maciej Małecki Poland
Zhousheng Xiao China
Annalisa Contursi Italy
Mohamed Saiel Saeed Alhamdani Germany
Zheng Wan China
Pawan Noel United States
Arpita Vyas United States
Ziwei Du China View profile →
Citations per field, relative to Melissa Skibba
Melissa Skibba · 1×
Citations per year, relative to Melissa Skibba
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Countries citing papers authored by Melissa Skibba

Since Specialization
Citations

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

Fields of papers citing papers by Melissa Skibba

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Melissa Skibba

This figure shows the co-authorship network connecting the top 25 collaborators of Melissa Skibba. A scholar is included among the top collaborators of Melissa Skibba 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 Melissa Skibba. Melissa Skibba 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
# Work Indexed citations
1 1
2 2
3 7
4 9
5 8
6 22
7 37
8 37
9 32
10 8
11 88
12 19
13 55
14 16
15 51
16 26
17 37
18 6
19 43
20 32

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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