Esterlina V. Tan

1.7k citations
27 papers · 1.2k indexed · h-index 18
Topics
Mycobacterium research and diagnosis (15 papers)Leprosy Research and Treatment (12 papers)Infectious Diseases and Tuberculosis (9 papers)

In The Last Decade

Esterlina V. Tan

26 papers receiving 1.2k citations

Peers

Esterlina V. Tan
Comparison fields: 5 of 75
  • Infectious Diseases 921
  • Epidemiology 635
  • Immunology 391
  • Surgery 350
  • Molecular Biology 154
Replace Yumi Maeda with:
Yumi Maeda Japan
Radha Gopal United States
Salma Lamhamedi France
Jeffrey J. Fountain United States
H K Prasad India
K. Edmonds United States
Mario Corbellino Italy
Joanna R. Kirman New Zealand
Fabio Orlando Neira Sánchez Canada
Elizabeth Ann Misch United States
Esterlina V. Tan relative to Yumi Maeda Japan Yumi Maeda's profile →
Citations per field
00.5×1.5×2.1×
Yumi Maeda · 1×
Citations per year

Countries citing papers authored by Esterlina V. Tan

Since Specialization
Citations

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

Fields of papers citing papers by Esterlina V. Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Esterlina V. Tan. 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 Esterlina V. Tan. The network helps show where Esterlina V. Tan may publish in the future.

Co-authorship network of co-authors of Esterlina V. Tan

This figure shows the co-authorship network connecting the top 25 collaborators of Esterlina V. Tan. A scholar is included among the top collaborators of Esterlina V. Tan 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 Esterlina V. Tan. Esterlina V. Tan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 28
3 15
4 6
5 5
6 200
7 6
8 137
9 33
10 20
11 19
12 83
13 35
14 33
15 53
16 19
17 20
18 7
19 161
20
Primary dapsone resistance in Cebu, The Philippines; cause for concern.
28

About Esterlina V. Tan

Esterlina V. Tan is a scholar working on Infectious Diseases, Immunology and Epidemiology, having authored 27 papers that have together received 1.2k indexed citations. Recurring topics across this work include Mycobacterium research and diagnosis (15 papers), Leprosy Research and Treatment (12 papers) and Infectious Diseases and Tuberculosis (9 papers). The work is most often cited by research in Infectious Diseases (921 citations), Immunology (391 citations) and Epidemiology (635 citations). Esterlina V. Tan has collaborated with scholars based in United States, Thailand and Japan. Frequent co-authors include Rodolfo M. Abalos, G P Walsh, Roland V. Cellona, Laarni G. Villahermosa, Eduardo Canteiro Cruz, A. Ilchyshyn, J. Berth‐Jones, Marcus A. Horwitz, R H Gelber and Lauren J. Young. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and Nature Medicine.

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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