Jane G. Smith

760 citations
13 papers · 341 · h-index 9

Impact in

Papers in

Jane G. Smith

12 papers receiving 338 citations

Peers

Jane G. Smith
Comparison fields: 5 of 38
  • Ecological Modeling 47
  • Nature and Landscape Conservation 110
  • Soil Science 81
  • Ecology 129
  • Ecology, Evolution, Behavior and Systematics 85
Replace Rachel Wooliver with:
Rachel Wooliver United States
Eric Pinto‐Figueroa Switzerland
Lupe León‐Sánchez United Kingdom
Kristina Merunková Czechia
Gerhard Boenisch Germany
Zhihong Zhu China
Pavel Dřevojan Czechia
Todd Wojtowicz United States
Sarah E. Stehn United States
Candice Y. Lumibao United States
Jane G. Smith relative to Rachel Wooliver United States Rachel Wooliver's profile →
Citations per field
00.5×1.6×
Rachel Wooliver · 1×
Citations per year

Countries citing papers authored by Jane G. Smith

Since Specialization
Citations

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

Fields of papers citing papers by Jane G. Smith

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jane G. Smith. 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 Jane G. Smith. The network helps show where Jane G. Smith may publish in the future.

Co-authors

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

All Works

13 of 13 papers shown
#Work
1 201879
2 201272
3 201858
4 201645
5 201221
6 201920
7 202014
8 202112
9 202310
10 20175
11 20203
12 20232
13 20240

About Jane G. Smith

Jane G. Smith is a scholar working on Ecology, Nature and Landscape Conservation, Plant Science, Soil Science and Ecological Modeling, having authored 13 papers that have together received 341 indexed citations. Recurring topics across this work include Ecology and Vegetation Dynamics Studies (7 papers), Microbial Community Ecology and Physiology (4 papers), Soil Carbon and Nitrogen Dynamics (4 papers), Species Distribution and Climate Change (3 papers), Mycorrhizal Fungi and Plant Interactions (3 papers), Plant Pathogens and Fungal Diseases (2 papers), Tree-ring climate responses (2 papers) and Rangeland and Wildlife Management (2 papers). The work is most often cited by research in Ecological Modeling (47 citations), Nature and Landscape Conservation (110 citations), Soil Science (81 citations), Ecology (129 citations) and Ecology, Evolution, Behavior and Systematics (85 citations). Jane G. Smith has collaborated with scholars based in United States, Australia and Czechia. Frequent co-authors include Katharine N. Suding, Marko J. Spasojevic, Clifton P. Bueno de Mesquita, Steven K. Schmidt, Emily C. Farrer, Dorota L. Porazinska, Andrew J. King, Isabel W. Ashton, Heather L. Throop and C. T. White. Their work appears in journals such as Ecology, Arctic Antarctic and Alpine Research, Plant and Soil, FEMS Microbiology Ecology and Fungal ecology.

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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