G. Shama

2.8k citations
39 papers · 2.3k indexed · h-index 20

Impact in

Papers in

G. Shama

39 papers receiving 2.2k citations

Peers

G. Shama
Comparison fields: 5 of 132
  • Biotechnology 537
  • Radiology, Nuclear Medicine and Imaging 613
  • Food Science 315
  • Industrial and Manufacturing Engineering 121
  • Biomedical Engineering 604
Replace Kang Huang with:
Kang Huang United States
Jean‐Marie Herry France
Ruonan Ma China
Anne Mai‐Prochnow Australia
Gilbert Shama United Kingdom
Sonal Patil India
Marie‐Nöelle Bellon‐Fontaine France
Aliyu Idris Muhammad China
Vladimír Scholtz Czechia
Campbell W. Robinson Canada
G. Shama relative to Kang Huang United States Kang Huang's profile →
Citations per field
00.5×4.2×
Kang Huang · 1×
Citations per year

Countries citing papers authored by G. Shama

Since Specialization
Citations

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

Fields of papers citing papers by G. Shama

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside G. Shama, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with G. Shama Line = papers co-authored together G. Shama links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 201718
2 201559
3 2014298
4 2014288
5 201310
6 2012138
7 201222
8 200956
9 200861
10 20082
11 200736
12 2005119
13 200215
14 200070
15 199915
16 19982
17 199717
18 199710
19 19958
20 198714

About G. Shama

G. Shama is a scholar working on Biotechnology, Industrial and Manufacturing Engineering, Physiology, Process Chemistry and Technology and Microbiology, having authored 39 papers that have together received 2.3k indexed citations. Recurring topics across this work include Listeria monocytogenes in Food Safety (10 papers), Microbial Inactivation Methods (8 papers), Plasma Applications and Diagnostics (6 papers), Advanced oxidation water treatment (4 papers), Thermochemical Biomass Conversion Processes (3 papers), TiO2 Photocatalysis and Solar Cells (3 papers), Recycling and Waste Management Techniques (3 papers) and Plant Pathogens and Fungal Diseases (3 papers). The work is most often cited by research in Biotechnology (537 citations), Radiology, Nuclear Medicine and Imaging (613 citations), Food Science (315 citations), Industrial and Manufacturing Engineering (121 citations) and Biomedical Engineering (604 citations). G. Shama has collaborated with scholars based in United Kingdom, China and Malaysia. Frequent co-authors include Michael G. Kong, A.G.F. Stapley, Norashikin Mat Zain, Richard G. Holdich, Eric Danso‐Boateng, A. D. Wheatley, Simon J. Martin, Danish J. Malik, Peter W. Andrew and X.T. Deng. Their work appears in journals such as Journal of Applied Microbiology, International Journal of Food Microbiology, Chemical Engineering Communications, Applied Physics Letters and IEEE Transactions on Plasma Science.

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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