Daniel A. Vasco

821 citations
16 papers · 428 · h-index 8

Impact in

Papers in

Daniel A. Vasco

16 papers receiving 401 citations

Peers

Daniel A. Vasco
Comparison fields: 5 of 75
  • Insect Science 102
  • Biological Psychiatry 17
  • Ecology, Evolution, Behavior and Systematics 122
  • Nature and Landscape Conservation 53
  • Genetics 118
Replace Simon K. G. Forsberg with:
Simon K. G. Forsberg Sweden
Charles E. Taylor United States
Carla Torres Braconi Brazil
Hao Yuan China
Harry G. Davis United States
Eugenia Sanchez Germany
Emily L. Bruns United States
Katie A. Miller United States
Yuxia Yang China
N. Faure France
Daniel A. Vasco relative to Simon K. G. Forsberg Sweden Simon K. G. Forsberg's profile →
Citations per field
00.5×7.6×
Simon K. G. Forsberg · 1×
Citations per year

Countries citing papers authored by Daniel A. Vasco

Since Specialization
Citations

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

Fields of papers citing papers by Daniel A. Vasco

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel A. Vasco. 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 Daniel A. Vasco. The network helps show where Daniel A. Vasco may publish in the future.

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 2019123
2 1992100
3 199252
4 200638
5 201433
6 201231
7 201712
8
Advances in understanding the evolution of HIV.
199912
9 19907
10
Understanding host-multipathogen systems: modeling the interaction between ecology and immunology.
20087
11 19874
12 19853
13 19872
14 20182
15 20101
16 20081

About Daniel A. Vasco

Daniel A. Vasco is a scholar working on Genetics, Ecology, Evolution, Behavior and Systematics, Nature and Landscape Conservation, Molecular Biology and Ecology, having authored 16 papers that have together received 428 indexed citations. Recurring topics across this work include Plant and animal studies (5 papers), Evolution and Genetic Dynamics (5 papers), Ecology and Vegetation Dynamics Studies (4 papers), Genetic Mapping and Diversity in Plants and Animals (3 papers), Genetic diversity and population structure (3 papers), Genetic and phenotypic traits in livestock (2 papers), Animal Ecology and Behavior Studies (2 papers) and Folate and B Vitamins Research (2 papers). The work is most often cited by research in Insect Science (102 citations), Biological Psychiatry (17 citations), Ecology, Evolution, Behavior and Systematics (122 citations), Nature and Landscape Conservation (53 citations) and Genetics (118 citations). Daniel A. Vasco has collaborated with scholars based in United States, Netherlands and Germany. Frequent co-authors include Chris D. Thomas, Michael C. Singer, David Ng, Camille Parmesan, Helen J. Wearing, Pejman Rohani, Claudia Trenkwalder, Johannes Hertel, Federico Baldini and Brit Mollenhauer. Their work appears in journals such as The American Naturalist, Systems Research and Behavioral Science, Cell Reports, Journal of Theoretical Biology and Royal Society Open Science.

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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