Noelia Lander

1.6k citations
43 papers · 1.0k indexed · h-index 18

Noelia Lander

41 papers receiving 998 citations

Peers

Noelia Lander
Comparison fields: 5 of 90
  • Physiology 83
  • Epidemiology 599
  • Insect Science 171
  • Public Health, Environmental and Occupational Health 286
  • Business and International Management 18
Replace Marcelo S. da Silva with:
Marcelo S. da Silva Brazil
Maurício Vieira United States
Marri Verhoek Netherlands
Yi Zheng China
Yuan Xue United States
Min Mo China
Jeffrey N. Davidson United States
Karen Ghauharali‐van der Vlugt Netherlands
Nicola Solaroli Sweden
Noelia Lander relative to Marcelo S. da Silva Brazil Marcelo S. da Silva's profile →
Citations per field
00.5×3.8×
Marcelo S. da Silva · 1×
Citations per year

Countries citing papers authored by Noelia Lander

Since Specialization
Citations

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

Fields of papers citing papers by Noelia Lander

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20241
3 20239
4 20235
5 202117
6 20209
7 202015
8 202031
9 202012
10 201924
11 201925
12 201912
13 201727
14 20178
15 201672
16 201350
17 200812
18 200711
19 20061
20 20061

About Noelia Lander

Noelia Lander is a scholar working on Epidemiology, Insect Science, Molecular Biology, Physiology and Genetics, having authored 43 papers that have together received 1.0k indexed citations. Recurring topics across this work include Trypanosoma species research and implications (30 papers), Research on Leishmaniasis Studies (9 papers), Mitochondrial Function and Pathology (8 papers), CRISPR and Genetic Engineering (8 papers), Biochemical and Molecular Research (7 papers), Forensic and Genetic Research (7 papers), Insect symbiosis and bacterial influences (7 papers) and Molecular Biology Techniques and Applications (4 papers). The work is most often cited by research in Physiology (83 citations), Epidemiology (599 citations), Insect Science (171 citations), Public Health, Environmental and Occupational Health (286 citations) and Business and International Management (18 citations). Noelia Lander has collaborated with scholars based in United States, Brazil and Venezuela. Frequent co-authors include Roberto Docampo, Miguel Ángel Chiurillo, Anı́bal E. Vercesi, Zhu‐Hong Li, Melissa Storey, Paul N. Ulrich, Guozhong Huang, José Luis Ramı́rez, Verónica Jiménez and Néstor Áñez. Their work appears in journals such as mBio, Journal of Biological Chemistry, Molecular Microbiology, International review of cell and molecular biology and mSphere.

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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