Jennifer C. Daltry

2.5k citations
32 papers · 1.0k indexed · 1 hit paper · h-index 12

Jennifer C. Daltry

31 papers receiving 991 citations

Hit Papers

Diet and snake venom evolution5561996202620062016100200300400500

Peers

Jennifer C. Daltry
Comparison fields: 5 of 67
  • Virology 297
  • Paleontology 220
  • Genetics 712
  • Ecological Modeling 97
  • Global and Planetary Change 438
Replace Maria da Graça Salomão with:
Maria da Graça Salomão Brazil
Camilo I. Mattoni Argentina
Ígor Luís Kaefer Brazil
Ana Lúcia da Costa Prudente Brazil
Selma Maria Almeida‐Santos Brazil
Óscar F. Francke Mexico
Kelum Manamendra‐Arachchi Sri Lanka
John E. Cadle United States
Caitlin A. Kuczynski United States
Robert J. Raven Australia
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Citations per field
00.5×4.3×
Maria da Graça Salomão · 1×
Citations per year

Countries citing papers authored by Jennifer C. Daltry

Since Specialization
Citations

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

Fields of papers citing papers by Jennifer C. Daltry

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jennifer C. Daltry. 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 Jennifer C. Daltry. The network helps show where Jennifer C. Daltry may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20231
2 20231
3 20225
4 202255
5 20217
6 202012
7
Diet of six species of Galapagos terrestrial snakes ( Pseudalsophis spp.) inferred from fecal samples
20193
8 201912
9
First records of three snake species from Cambodia
20172
10 201711
11 20171
12
Update on the natural history and conservation status of the Saint Lucia racer, Erythrolamprus ornatus Garman, 1887 (Squamata, Dipsadidae)
20161
13 20153
14 20151
15 200139
16 20015
17 199866
18 199673
19
Diet and snake venom evolutionbreakdown →
1996556
20 199553

About Jennifer C. Daltry

Jennifer C. Daltry is a scholar working on Ecological Modeling, Global and Planetary Change and Ecology, having authored 32 papers that have together received 1.0k indexed citations. Recurring topics across this work include Amphibian and Reptile Biology (21 papers), Wildlife Ecology and Conservation (9 papers), Animal Behavior and Reproduction (5 papers), Venomous Animal Envenomation and Studies (5 papers), Species Distribution and Climate Change (5 papers), Animal Ecology and Behavior Studies (4 papers), Yersinia bacterium, plague, ectoparasites research (3 papers) and Primate Behavior and Ecology (3 papers). The work is most often cited by research in Virology (297 citations), Paleontology (220 citations) and Genetics (712 citations). Jennifer C. Daltry has collaborated with scholars based in United Kingdom, United States and Jersey. Frequent co-authors include Wolfgang Wüster, Roger S. Thorpe, Nget‐Hong Tan, Gnanajothy Ponnudurai, Anita Malhotra, Roger S. Thorpe, Mark L. Day, J. P. Hartley, Gillian Cooper and Brian E. Smith. Their work appears in journals such as Nature, Science and SHILAP Revista de lepidopterología.

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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