Umair Shabbir

1.3k citations
24 papers · 897 indexed · 1 hit paper · h-index 14
Topics
Protein Hydrolysis and Bioactive Peptides (5 papers)Biochemical effects in animals (5 papers)GABA and Rice Research (4 papers)
Partner nations
South KoreaPakistanChina

In The Last Decade

Umair Shabbir

21 papers receiving 880 citations

Hit Papers

Curcumin, Quercetin, Catechins and Metabolic Diseases: Th...2021202620222024202150100150200

Peers

Umair Shabbir
Comparison fields: 5 of 105
  • Molecular Biology 349
  • Physiology 217
  • Plant Science 190
  • Food Science 185
  • Nutrition and Dietetics 113
Replace Kang Sun with:
Kang Sun China
Si-Xia Wu China
Qingde Huang China
Rosa Direito Portugal
Warnakulasuriya Mary Ann Dipika Binosha Fernando Australia
Lizeng Cheng China
Lianliang Liu China
Muthukumar Serva Peddha India
Yang Wei China
Jianfei Mu China
Umair Shabbir relative to Kang Sun China Kang Sun's profile →
Citations per field
00.5×
Kang Sun · 1×
Citations per year

Countries citing papers authored by Umair Shabbir

Since Specialization
Citations

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

Fields of papers citing papers by Umair Shabbir

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Umair Shabbir

This figure shows the co-authorship network connecting the top 25 collaborators of Umair Shabbir. A scholar is included among the top collaborators of Umair Shabbir 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 Umair Shabbir. Umair Shabbir 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 0
2 1
3 9
4 15
5 15
6 22
7 34
8 28
9 0
10 9
11 137
12 48
13 16
14 72
15
Curcumin, Quercetin, Catechins and Metabolic Diseases: The Role of Gut Microbiotabreakdown →
237
16 36
17 81
18 85
19 16
20 6

About Umair Shabbir

Umair Shabbir is a scholar working on Biological Psychiatry, Biochemistry and Molecular Medicine, having authored 24 papers that have together received 897 indexed citations. Recurring topics across this work include Protein Hydrolysis and Bioactive Peptides (5 papers), Biochemical effects in animals (5 papers) and GABA and Rice Research (4 papers). The work is most often cited by research in Biological Psychiatry (90 citations), Biochemistry (106 citations) and Molecular Medicine (68 citations). Umair Shabbir has collaborated with scholars based in South Korea, Pakistan and China. Frequent co-authors include Deog‐Hwan Oh, Ramachandran Chelliah, Momna Rubab, Ahsan Javed, Akanksha Tyagi, Eric Banan‐Mwine Daliri, Aysha Sameen, Muhammad Sajid Arshad, Simon Okomo Aloo and Fazle Elahi. Their work appears in journals such as PLoS ONE, Food Chemistry and International Journal of Molecular Sciences.

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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