Manoj Dadlani

21 total papers · 453 total citations
11 papers, 300 citations indexed

About

Manoj Dadlani is a scholar working on Molecular Biology, Infectious Diseases and Surgery. According to data from OpenAlex, Manoj Dadlani has authored 11 papers receiving a total of 300 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 4 papers in Infectious Diseases and 2 papers in Surgery. Recurrent topics in Manoj Dadlani's work include Gut microbiota and health (5 papers), Clostridium difficile and Clostridium perfringens research (2 papers) and Dermatology and Skin Diseases (2 papers). Manoj Dadlani is often cited by papers focused on Gut microbiota and health (5 papers), Clostridium difficile and Clostridium perfringens research (2 papers) and Dermatology and Skin Diseases (2 papers). Manoj Dadlani collaborates with scholars based in United States, Canada and Singapore. Manoj Dadlani's co-authors include Brian Fanelli, Rita R. Colwell, Patricia J. Simner, Karen C. Carroll, Victoria Gniazdowski, John A. Fissel, Yehudit Bergman, Heba H. Mostafa, Thomas C. Register and Mark C. Chappell and has published in prestigious journals such as Nature Communications, Journal of Clinical Microbiology and Frontiers in Microbiology.

In The Last Decade

Manoj Dadlani

10 papers receiving 295 citations

Author Peers

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

Author						Papers	Cites
Manoj Dadlani	169	106	66	51	33	11	300
Jonathan J. Whittall	114 0.7×	80 0.8×	47 0.7×	50 1.0×	30 0.9×	16	358
Ariel Hernandez-Leyva	222 1.3×	65 0.6×	50 0.8×	35 0.7×	14 0.4×	10	341
Qi Wang	210 1.2×	43 0.4×	46 0.7×	48 0.9×	56 1.7×	14	331
Francesco Durazzi	219 1.3×	48 0.5×	39 0.6×	60 1.2×	47 1.4×	6	348
Josiane Campos	191 1.1×	52 0.5×	55 0.8×	26 0.5×	45 1.4×	7	326
Tyler Rice	196 1.2×	63 0.6×	56 0.8×	35 0.7×	13 0.4×	14	349
Andrew Oliver	203 1.2×	36 0.3×	51 0.8×	61 1.2×	38 1.2×	17	333
Matthew M. Schaefers	131 0.8×	80 0.8×	58 0.9×	16 0.3×	31 0.9×	16	353
Danyta I. Tedjo	252 1.5×	75 0.7×	49 0.7×	39 0.8×	14 0.4×	8	316
Omari Jones-Nelson	158 0.9×	122 1.2×	41 0.6×	12 0.2×	33 1.0×	10	356

Countries citing papers authored by Manoj Dadlani

Since Specialization

Citations

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

Fields of papers citing papers by Manoj Dadlani

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Manoj Dadlani

This figure shows the co-authorship network connecting the top 25 collaborators of Manoj Dadlani. A scholar is included among the top collaborators of Manoj Dadlani 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 Manoj Dadlani. Manoj Dadlani 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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