Abdul H. Chagla

31 total papers · 904 total citations
30 papers, 709 citations indexed

About

Abdul H. Chagla is a scholar working on Infectious Diseases, Endocrinology and Epidemiology. According to data from OpenAlex, Abdul H. Chagla has authored 30 papers receiving a total of 709 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Infectious Diseases, 7 papers in Endocrinology and 5 papers in Epidemiology. Recurrent topics in Abdul H. Chagla's work include Viral gastroenteritis research and epidemiology (6 papers), Clostridium difficile and Clostridium perfringens research (3 papers) and Cellular Mechanics and Interactions (3 papers). Abdul H. Chagla is often cited by papers focused on Viral gastroenteritis research and epidemiology (6 papers), Clostridium difficile and Clostridium perfringens research (3 papers) and Cellular Mechanics and Interactions (3 papers). Abdul H. Chagla collaborates with scholars based in Canada, Saudi Arabia and United Kingdom. Abdul H. Chagla's co-authors include A.J. Griffiths, Danton H. O’Day, Daniel B. Gregson, Zafar Hussain, David Lloyd, A Borczyk, Naim-Ur-Rahman, Graham L. Pollett, Khalid N. Haque and Bryna Warshawsky and has published in prestigious journals such as Biochemical Journal, Journal of Clinical Microbiology and Developmental Biology.

In The Last Decade

Abdul H. Chagla

30 papers receiving 647 citations

Author Peers

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

Author Last Decade Papers Cites
Abdul H. Chagla 301 164 153 104 90 30 709
Barbara J. Wallace 249 0.8× 179 1.1× 161 1.1× 121 1.2× 53 0.6× 36 896
A. M. Horrevorts 227 0.8× 114 0.7× 272 1.8× 92 0.9× 52 0.6× 35 846
Jason Sawyer 244 0.8× 192 1.2× 181 1.2× 37 0.4× 63 0.7× 39 808
Rosario San Millàn 451 1.5× 262 1.6× 316 2.1× 49 0.5× 68 0.8× 27 891
Amira Ben Amara 224 0.7× 182 1.1× 202 1.3× 33 0.3× 78 0.9× 33 890
Ka Lip Chew 289 1.0× 115 0.7× 224 1.5× 87 0.8× 37 0.4× 52 773
Erdal Erol 239 0.8× 296 1.8× 139 0.9× 77 0.7× 32 0.4× 46 883
Julia Alcoba-Flórez 627 2.1× 228 1.4× 314 2.1× 42 0.4× 97 1.1× 37 858
Ilona Dóczi 426 1.4× 86 0.5× 280 1.8× 26 0.3× 178 2.0× 28 750
M N Mallet 208 0.7× 230 1.4× 220 1.4× 54 0.5× 31 0.3× 43 902

Countries citing papers authored by Abdul H. Chagla

Since Specialization
Citations

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

Fields of papers citing papers by Abdul H. Chagla

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Abdul H. Chagla. 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 Abdul H. Chagla. The network helps show where Abdul H. Chagla may publish in the future.

Co-authorship network of co-authors of Abdul H. Chagla

This figure shows the co-authorship network connecting the top 25 collaborators of Abdul H. Chagla. A scholar is included among the top collaborators of Abdul H. Chagla 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 Abdul H. Chagla. Abdul H. Chagla 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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