Shah Mukim Uddin

14 total papers · 480 total citations
11 papers, 377 citations indexed

About

Shah Mukim Uddin is a scholar working on Molecular Biology, Biomedical Engineering and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Shah Mukim Uddin has authored 11 papers receiving a total of 377 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 7 papers in Biomedical Engineering and 2 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Shah Mukim Uddin's work include Biosensors and Analytical Detection (6 papers), Advanced biosensing and bioanalysis techniques (4 papers) and Microfluidic and Bio-sensing Technologies (3 papers). Shah Mukim Uddin is often cited by papers focused on Biosensors and Analytical Detection (6 papers), Advanced biosensing and bioanalysis techniques (4 papers) and Microfluidic and Bio-sensing Technologies (3 papers). Shah Mukim Uddin collaborates with scholars based in Australia, Malaysia and United States. Shah Mukim Uddin's co-authors include Abkar Sayad, Fatimah Ibrahim, Kwai Lin Thong, Marc Madou, Jongman Cho, Mas Sahidayana Mohktar, Patrick Kwan, Jianxiong Chan, Efstratios Skafidas and Ivan Djordjevic and has published in prestigious journals such as Scientific Reports, Sensors and Biosensors and Bioelectronics.

In The Last Decade

Shah Mukim Uddin

11 papers receiving 372 citations

Author Peers

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

Author Last Decade Papers Cites
Shah Mukim Uddin 320 178 48 46 19 11 377
Peter L. Mage 227 0.7× 224 1.3× 38 0.8× 39 0.8× 20 1.1× 8 351
Amy C. Richards 145 0.5× 97 0.5× 76 1.6× 44 1.0× 18 0.9× 8 334
Abkar Sayad 301 0.9× 161 0.9× 38 0.8× 46 1.0× 5 0.3× 8 346
David A. Selck 322 1.0× 226 1.3× 37 0.8× 63 1.4× 13 0.7× 10 440
David J. You 331 1.0× 218 1.2× 63 1.3× 52 1.1× 8 0.4× 12 384
Nathaniel W. Martinez 230 0.7× 261 1.5× 61 1.3× 72 1.6× 12 0.6× 13 432
Kang-Yu Chu 281 0.9× 202 1.1× 150 3.1× 46 1.0× 9 0.5× 7 368
Manni Mo 188 0.6× 120 0.7× 49 1.0× 25 0.5× 13 0.7× 14 384
Yi-Sin Chen 229 0.7× 191 1.1× 43 0.9× 37 0.8× 4 0.2× 15 365
Yan Deng 297 0.9× 217 1.2× 113 2.4× 44 1.0× 23 1.2× 8 438

Countries citing papers authored by Shah Mukim Uddin

Since Specialization
Citations

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

Fields of papers citing papers by Shah Mukim Uddin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shah Mukim Uddin. 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 Shah Mukim Uddin. The network helps show where Shah Mukim Uddin may publish in the future.

Co-authorship network of co-authors of Shah Mukim Uddin

This figure shows the co-authorship network connecting the top 25 collaborators of Shah Mukim Uddin. A scholar is included among the top collaborators of Shah Mukim Uddin 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 Shah Mukim Uddin. Shah Mukim Uddin 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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