Matthew K. Gould

1.2k citations
15 papers · 883 indexed · h-index 13

Matthew K. Gould

15 papers receiving 876 citations

Peers

Matthew K. Gould
Comparison fields: 5 of 74
  • Epidemiology 617
  • Public Health, Environmental and Occupational Health 415
  • Molecular Biology 336
  • Organic Chemistry 202
  • Molecular Medicine 90
Replace Cláudia M. Calvet with:
Cláudia M. Calvet Brazil
Heike Budde Germany
Kimberly S. Paul United States
Marcos Meuser Batista Brazil
V. Hannaert Belgium
Yuliya Y. Kleshchenko United States
Jenicer K.U. Yokoyama-Yasunaka Brazil
Craig Joe Munday United Kingdom
Mark R. Ariyanayagam United Kingdom
Maria Lucia S. Güther United Kingdom
Matthew K. Gould relative to Cláudia M. Calvet Brazil Cláudia M. Calvet's profile →
Citations per field
00.5×8.2×
Cláudia M. Calvet · 1×
Citations per year

Countries citing papers authored by Matthew K. Gould

Since Specialization
Citations

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

Fields of papers citing papers by Matthew K. Gould

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Matthew K. Gould. 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 Matthew K. Gould. The network helps show where Matthew K. Gould may publish in the future.

Co-authorship network of co-authors of Matthew K. Gould

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

All Works

15 of 15 papers shown
#WorkIndexed citations
1 9
2 88
3 36
4 36
5 9
6 25
7 112
8 49
9 66
10 42
11 152
12 70
13 109
14 40
15 40

About Matthew K. Gould

Matthew K. Gould is a scholar working on Epidemiology, Public Health, Environmental and Occupational Health and Parasitology, having authored 15 papers that have together received 883 indexed citations. Recurring topics across this work include Trypanosoma species research and implications (13 papers), Research on Leishmaniasis Studies (9 papers) and Synthesis and Biological Evaluation (5 papers). The work is most often cited by research in Molecular Medicine (90 citations), Epidemiology (617 citations) and Public Health, Environmental and Occupational Health (415 citations). Matthew K. Gould has collaborated with scholars based in United Kingdom, Switzerland and Germany. Frequent co-authors include Harry P. de Koning, Achim Schnaufer, Pascal Mäser, Caroline E. Dewar, Samuel Dean, Thomas Seebeck, Chatchawan Changtam, Mohammed Sajid, Apichart Suksamrarn and Richard Burchmore. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Analytical Biochemistry.

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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