Maya Gobin

973 citations
33 papers · 676 · h-index 12

Impact in

Papers in

    • Viral gastroenteritis research and epidemiology 6
    • HIV/AIDS Research and Interventions 3
    • Bacterial Infections and Vaccines 5
    • Reproductive tract infections research 5

Maya Gobin

32 papers receiving 641 citations

Peers

Maya Gobin
Comparison fields: 5 of 90
  • Applied Microbiology and Biotechnology 87
  • Microbiology 131
  • Endocrinology 110
  • Infectious Diseases 170
  • Molecular Medicine 41
Replace Céline Langendorf with:
Céline Langendorf France
Betuel Sigaúque Mozambique
Bjørn G Iversen Norway
Martina Escher Italy
Caroline Ngetsa Kenya
PrateekSaurabh Shrivastava India
Ahmed M. Arzika United States
Ariel Nhacolo Mozambique
Alemseged Abdissa Ethiopia
Nizam Damani United Kingdom
Maya Gobin relative to Céline Langendorf France Céline Langendorf's profile →
Citations per field
00.5×3.3×
Céline Langendorf · 1×
Citations per year

Countries citing papers authored by Maya Gobin

Since Specialization
Citations

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

Fields of papers citing papers by Maya Gobin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015124
2 2019110
3 201665
4 201251
5 201845
6 201745
7 201742
8 201927
9 201323
10 201116
11 201415
12 202114
13 201210
14 201810
15 20158
16 20158
17 20188
18 20138
19 20247
20 20166

About Maya Gobin

Maya Gobin is a scholar working on Infectious Diseases, Microbiology, Epidemiology, Endocrinology and Public Health, Environmental and Occupational Health, having authored 33 papers that have together received 676 indexed citations. Recurring topics across this work include Viral gastroenteritis research and epidemiology (6 papers), Bacterial Infections and Vaccines (5 papers), Reproductive tract infections research (5 papers), Pneumonia and Respiratory Infections (4 papers), Escherichia coli research studies (4 papers), HIV/AIDS Research and Interventions (3 papers), Salmonella and Campylobacter epidemiology (3 papers) and Influenza Virus Research Studies (2 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (87 citations), Microbiology (131 citations), Endocrinology (110 citations), Infectious Diseases (170 citations) and Molecular Medicine (41 citations). Maya Gobin has collaborated with scholars based in United Kingdom, Sweden and Switzerland. Frequent co-authors include Isabel Oliver, Alex Bhattacharya, Diane Ashiru‐Oredope, Gwenda Hughes, Ian Simms, O N Gill, Martina Furegato, V L Gilbart, Graham Hart and Claire Jenkins. Their work appears in journals such as Eurosurveillance, Sexually Transmitted Infections, Cochrane Database of Systematic Reviews, BMC Public Health and Epidemiology and Infection.

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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