Daniel M. Portik

2.7k citations
42 papers · 1.5k indexed · 1 hit paper · h-index 26

Daniel M. Portik

42 papers receiving 1.4k citations

Hit Papers

Generating lineage-resolved, complete metagenome-assemble...12620222026202320244080120

Peers

Daniel M. Portik
Comparison fields: 5 of 87
  • Ecological Modeling 351
  • Global and Planetary Change 596
  • Genetics 579
  • Paleontology 124
  • Ecology, Evolution, Behavior and Systematics 325
Replace Zoltán T. Nagy with:
Zoltán T. Nagy Belgium
Catarina Pinho Portugal
Mariana L. Lyra Brazil
Marcelo Vallinoto Brazil
Daren C. Card United States
Hinrich Kaiser United States
Xianguang Guo China
Jonathan J. Fong South Korea
Haw Chuan Lim United States
Jennifer C. Ast United States
Daniel M. Portik relative to Zoltán T. Nagy Belgium Zoltán T. Nagy's profile →
Citations per field
00.5×
Zoltán T. Nagy · 1×
Citations per year

Countries citing papers authored by Daniel M. Portik

Since Specialization
Citations

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

Fields of papers citing papers by Daniel M. Portik

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20237
2 202312
3 202360
4 20221
5 202253
6 202124
7 202018
8 202035
9 20186
10 20179
11 201728
12 201674
13 201625
14
Diversification of Afrobatrachian Frogs and the Herpetofauna of the Arabian Peninsula
20154
15 201567
16 201523
17 201329
18 201328
19 201135
20 201140

About Daniel M. Portik

Daniel M. Portik is a scholar working on Ecological Modeling, Global and Planetary Change and Genetics, having authored 42 papers that have together received 1.5k indexed citations. Recurring topics across this work include Amphibian and Reptile Biology (27 papers), Genetic diversity and population structure (22 papers), Genomics and Phylogenetic Studies (15 papers), Species Distribution and Climate Change (15 papers), Animal Behavior and Reproduction (6 papers), Microbial Community Ecology and Physiology (3 papers), Wildlife Ecology and Conservation (3 papers) and Plant and animal studies (3 papers). The work is most often cited by research in Ecological Modeling (351 citations), Global and Planetary Change (596 citations) and Genetics (579 citations). Daniel M. Portik has collaborated with scholars based in United States, South Africa and United Kingdom. Frequent co-authors include David C. Blackburn, John J. Wiens, Theodore J. Papenfuss, Todd R. Jackman, Matthew K. Fujita, Aaron M. Bauer, Jeffrey W. Streicher, Adam D. Leaché, Marius Burger and Ke Bi.

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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