Daniel A. Vasco

835 citations
18 papers · 457 · h-index 9

Impact in

Papers in

Daniel A. Vasco

18 papers receiving 428 citations

Peers

Daniel A. Vasco
Comparison fields: 5 of 72
  • Insect Science 103
  • Biological Psychiatry 17
  • Ecology, Evolution, Behavior and Systematics 124
  • Genetics 122
  • Nature and Landscape Conservation 54
Replace Simon K. G. Forsberg with:
Simon K. G. Forsberg Sweden
E. B. Vinogradova Russia
Wojciech Rożek Poland
Md Kawsar Khan Australia
Rossana Segreto Austria
Eugenia Sanchez Germany
Jason Caravas United States
Sheree J. Finley United States
Benxia Hu United States
Emily L. Bruns United States
Daniel A. Vasco relative to Simon K. G. Forsberg Sweden Simon K. G. Forsberg's profile →
Citations per field
00.5×7.7×
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

18 of 18 papers shown
#Work
1 2019132
2 1992102
3 199254
4 200638
5 201436
6 201231
7
Advances in understanding the evolution of HIV.
199915
8 201713
9 19908
10
Understanding host-multipathogen systems: modeling the interaction between ecology and immunology.
20087
11 19854
12 19874
13 20024
14 20183
15 19873
16 20101
17 20081
18 20101

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 18 papers that have together received 457 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 and phenotypic traits in livestock (3 papers), Genetic diversity and population structure (3 papers), Folate and B Vitamins Research (2 papers) and Animal Ecology and Behavior Studies (2 papers). The work is most often cited by research in Insect Science (103 citations), Biological Psychiatry (17 citations), Ecology, Evolution, Behavior and Systematics (124 citations), Genetics (122 citations) and Nature and Landscape Conservation (54 citations). Daniel A. Vasco has collaborated with scholars based in United States, Germany and Netherlands. Frequent co-authors include Chris D. Thomas, Michael C. Singer, David Ng, Camille Parmesan, Pejman Rohani, Helen J. Wearing, Ines Thiele, Cyrille C. Thinnes, Rejko Krüger and Maik Pietzner. Their work appears in journals such as Frontiers in Genetics, The American Naturalist, Asian-Australasian Journal of Animal Sciences, Behavior Genetics and Genetics.

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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