Noman Bin Abid

24 total papers · 918 total citations
21 papers, 742 citations indexed

About

Noman Bin Abid is a scholar working on Physiology, Molecular Biology and Epidemiology. According to data from OpenAlex, Noman Bin Abid has authored 21 papers receiving a total of 742 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Physiology, 8 papers in Molecular Biology and 5 papers in Epidemiology. Recurrent topics in Noman Bin Abid's work include Adipokines, Inflammation, and Metabolic Diseases (5 papers), Adipose Tissue and Metabolism (5 papers) and Neuroinflammation and Neurodegeneration Mechanisms (3 papers). Noman Bin Abid is often cited by papers focused on Adipokines, Inflammation, and Metabolic Diseases (5 papers), Adipose Tissue and Metabolism (5 papers) and Neuroinflammation and Neurodegeneration Mechanisms (3 papers). Noman Bin Abid collaborates with scholars based in South Korea, Pakistan and Saudi Arabia. Noman Bin Abid's co-authors include Myeong Ok Kim, Min Woo Kim, Seungsoo Chung, Shafiq Ur Rehman, M O Kim, Sonia Shah, Tae Hoon Kim, Min Gi Jo, Mehtab Khan and Myeung Hoon Jo and has published in prestigious journals such as Scientific Reports, International Journal of Molecular Sciences and Cerebral Cortex.

In The Last Decade

Noman Bin Abid

20 papers receiving 740 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Noman Bin Abid	263	253	161	159	92	21	742
Min Gi Jo	241 0.9×	351 1.4×	108 0.7×	224 1.4×	71 0.8×	20	899
Carlos Pomilio	342 1.3×	152 0.6×	105 0.7×	256 1.6×	124 1.3×	21	691
Myeung Hoon Jo	224 0.9×	267 1.1×	91 0.6×	203 1.3×	88 1.0×	14	697
Leila Khalaj	178 0.7×	430 1.7×	88 0.5×	177 1.1×	112 1.2×	22	860
Min Woo Kim	297 1.1×	268 1.1×	167 1.0×	358 2.3×	82 0.9×	24	867
Gemma Comes	387 1.5×	303 1.2×	127 0.8×	147 0.9×	61 0.7×	28	902
Feixue Wang	194 0.7×	306 1.2×	126 0.8×	146 0.9×	83 0.9×	30	848
Shucai Ling	162 0.6×	333 1.3×	89 0.6×	172 1.1×	165 1.8×	35	834
Mari Takalo	392 1.5×	366 1.4×	86 0.5×	187 1.2×	128 1.4×	23	861
Chi Dae Kim	223 0.8×	303 1.2×	100 0.6×	116 0.7×	91 1.0×	28	801

Countries citing papers authored by Noman Bin Abid

Since Specialization

Citations

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

Fields of papers citing papers by Noman Bin Abid

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Noman Bin Abid. 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 Noman Bin Abid. The network helps show where Noman Bin Abid may publish in the future.

Co-authorship network of co-authors of Noman Bin Abid

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

All Works

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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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