Daniela Guerra

850 citations
22 papers · 695 · h-index 11

Impact in

Papers in

    • Physiological and biochemical adaptations 10
    • Developmental Biology and Gene Regulation 4
    • Heat shock proteins research 3

Daniela Guerra

20 papers receiving 674 citations

Peers

Daniela Guerra
Comparison fields: 5 of 56
  • Aging 48
  • Geometry and Topology 156
  • Ecology, Evolution, Behavior and Systematics 279
  • Ecological Modeling 58
  • Ecology 344
Replace Kazuo H. Takahashi with:
Kazuo H. Takahashi Japan
Éliane Pla France
Viviane Callier United States
Amir Yassin France
John P. Masly United States
Fabian M. Norry Argentina
Arnar Pálsson Iceland
Saad Arif United Kingdom
Jørgen Bundgaard Denmark
Carla Rêgo Portugal
Daniela Guerra relative to Kazuo H. Takahashi Japan Kazuo H. Takahashi's profile →
Citations per field
00.5×3.4×
Kazuo H. Takahashi · 1×
Citations per year

Countries citing papers authored by Daniela Guerra

Since Specialization
Citations

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

Fields of papers citing papers by Daniela Guerra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 21 scholars most cited alongside Daniela Guerra, 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 Daniela Guerra Line = papers co-authored together Daniela Guerra links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1985118
2 200698
3 199592
4 198984
5 199156
6 200052
7 199751
8 199737
9 199532
10 200422
11 200511
12 201110
13 19979
14 19974
15 19894
16 19814
17 19864
18 20043
19 19862
20 20211

About Daniela Guerra

Daniela Guerra is a scholar working on Ecology, Molecular Biology, Genetics, Geometry and Topology and Ecology, Evolution, Behavior and Systematics, having authored 22 papers that have together received 695 indexed citations. Recurring topics across this work include Physiological and biochemical adaptations (10 papers), Morphological variations and asymmetry (6 papers), Developmental Biology and Gene Regulation (4 papers), Heat shock proteins research (3 papers), Genetics, Aging, and Longevity in Model Organisms (3 papers), Animal Behavior and Reproduction (3 papers), Genetic and phenotypic traits in livestock (2 papers) and Genetic diversity and population structure (2 papers). The work is most often cited by research in Aging (48 citations), Geometry and Topology (156 citations), Ecology, Evolution, Behavior and Systematics (279 citations), Ecological Modeling (58 citations) and Ecology (344 citations). Daniela Guerra has collaborated with scholars based in Italy, United States and Denmark. Frequent co-authors include Sandro Cavicchi, Gianfranco Giorgi, Flavio Garoia, Raymond B. Huey, Vincenzo Trotta, Jean R. David, Marcello Ziosi, Federico C. F. Calboli, Ana López‐Varea and Daniela Grifoni. Their work appears in journals such as Heredity, Journal of Evolutionary Biology, Evolution, Cellular and Molecular Life Sciences and Mechanisms of Development.

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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