Moni Roy

1.3k citations
53 papers · 871 · h-index 12

Impact in

Papers in

    • Fungal Infections and Studies 5
    • Mycobacterium research and diagnosis 3

Moni Roy

50 papers receiving 829 citations

Peers

Moni Roy
Comparison fields: 5 of 81
  • Reproductive Medicine 261
  • Obstetrics and Gynecology 131
  • Microbiology 13
  • Oncology 135
  • Microbiology 25
Replace Akio Kataoka with:
Akio Kataoka Japan
Liliana Aparecida Lucci De Angelo Andrade Brazil
Jeng-Gwang Hsiu United States
Angus McIndoe United Kingdom
Masao Hotchi Japan
Inger Gustavsson Sweden
Jane Shen-Gunther United States
Motoyasu Sugase Japan
Neelam B. Kumar United States
Yaqi Pan China
Moni Roy relative to Akio Kataoka Japan Akio Kataoka's profile →
Citations per field
00.5×5.4×
Akio Kataoka · 1×
Citations per year

Countries citing papers authored by Moni Roy

Since Specialization
Citations

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

Fields of papers citing papers by Moni Roy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Moni Roy, 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 Moni Roy Line = papers co-authored together Moni Roy links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 53 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1992168
2 1996127
3 2010122
4 200472
5 199662
6 201049
7 201722
8 198918
9 201616
10 201115
11 200915
12 201713
13 201811
14 202010
15 202110
16 201010
17 20209
18 20177
19 20207
20 20227

About Moni Roy

Moni Roy is a scholar working on Epidemiology, Surgery, Infectious Diseases, Pulmonary and Respiratory Medicine and Microbiology, having authored 53 papers that have together received 871 indexed citations. Recurring topics across this work include Fungal Infections and Studies (5 papers), Ovarian cancer diagnosis and treatment (5 papers), Infectious Diseases and Mycology (4 papers), Streptococcal Infections and Treatments (3 papers), Endometrial and Cervical Cancer Treatments (3 papers), Mycobacterium research and diagnosis (3 papers), Antifungal resistance and susceptibility (3 papers) and Bacterial Infections and Vaccines (3 papers). The work is most often cited by research in Reproductive Medicine (261 citations), Obstetrics and Gynecology (131 citations), Microbiology (13 citations), Oncology (135 citations) and Microbiology (25 citations). Moni Roy has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Douglas Dahlbeck, Brian Kearney, Brian J. Staskawicz, Kathy Swords, Marie Plante, Garry V. Krepart, K. Swenerton, J. Carmichael, Pierre Drouin and Gavin Stuart. Their work appears in journals such as Annals of Oncology, Journal of Clinical Oncology, Gynecologic Oncology, Journal of Bacteriology and International Journal of Gynecological Cancer.

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.

Explore authors with similar magnitude of impact