Maya Gobin

957 citations
33 papers · 626 indexed · h-index 12

Impact in

Papers in

Maya Gobin

32 papers receiving 601 citations

Peers

Maya Gobin
Comparison fields: 5 of 94
  • Applied Microbiology and Biotechnology 74
  • Microbiology 138
  • Endocrinology 104
  • Infectious Diseases 237
  • Molecular Medicine 35
Replace Ahmed M. Arzika with:
Ahmed M. Arzika United States
D. Cal Ham United States
Céline Langendorf France
Sarah B. Doernberg United States
Bjørn G Iversen Norway
Lee M. Hampton United States
Caroline Ngetsa Kenya
Lina Zhong United States
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Erin Epson United States
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Citations per field
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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 2015121
2 2019106
3 201656
4 201248
5 201842
6 201740
7 201734
8 201926
9 201323
10 201113
11 202112
12 201411
13 201210
14 20189
15 20158
16 20188
17 20138
18 20157
19 20246
20 20166

About Maya Gobin

Maya Gobin is a scholar working on Infectious Diseases, General Health Professions, Epidemiology, Microbiology and Public Health, Environmental and Occupational Health, having authored 33 papers that have together received 626 indexed citations. Recurring topics across this work include HIV/AIDS Research and Interventions (6 papers), Viral gastroenteritis research and epidemiology (6 papers), Pneumonia and Respiratory Infections (5 papers), Reproductive tract infections research (5 papers), Bacterial Infections and Vaccines (5 papers), Escherichia coli research studies (4 papers), Salmonella and Campylobacter epidemiology (3 papers) and Adolescent Sexual and Reproductive Health (3 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (74 citations), Microbiology (138 citations), Endocrinology (104 citations), Infectious Diseases (237 citations) and Molecular Medicine (35 citations). Maya Gobin has collaborated with scholars based in United Kingdom, Sweden and Switzerland. Frequent co-authors include Isabel Oliver, Ian Simms, Gwenda Hughes, Alex Bhattacharya, Diane Ashiru‐Oredope, Graham Hart, Martina Furegato, Claire Jenkins, O N Gill and V L Gilbart. Their work appears in journals such as Eurosurveillance, Sexually Transmitted Infections, BMC Public Health, Cochrane Database of Systematic Reviews 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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