Heather E. Johnson

2.4k total citations
73 papers, 1.7k citations indexed

About

Heather E. Johnson is a scholar working on Ecology, Genetics and Agronomy and Crop Science. According to data from OpenAlex, Heather E. Johnson has authored 73 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Ecology, 17 papers in Genetics and 8 papers in Agronomy and Crop Science. Recurrent topics in Heather E. Johnson's work include Wildlife Ecology and Conservation (35 papers), Rangeland and Wildlife Management (15 papers) and Species Distribution and Climate Change (8 papers). Heather E. Johnson is often cited by papers focused on Wildlife Ecology and Conservation (35 papers), Rangeland and Wildlife Management (15 papers) and Species Distribution and Climate Change (8 papers). Heather E. Johnson collaborates with scholars based in United States, United Kingdom and Canada. Heather E. Johnson's co-authors include Thomas R. Stephenson, Stewart W. Breck, D. E. Ullrey, William Youatt, John D. Wehausen, L. D. Fay, L. Scott Mills, Stacy A. Lischka, Vernon C. Bleich and W. T. Magee and has published in prestigious journals such as SHILAP Revista de lepidopterología, Environmental Science & Technology and Gastroenterology.

In The Last Decade

Heather E. Johnson

68 papers receiving 1.5k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Heather E. Johnson United States 26 1.1k 284 197 195 182 73 1.7k
Andrew P. Smith Australia 21 728 0.7× 183 0.6× 216 1.1× 241 1.2× 132 0.7× 53 1.8k
Todd J. Brinkman United States 22 902 0.8× 190 0.7× 64 0.3× 146 0.7× 140 0.8× 65 1.4k
John Wilmshurst Canada 21 1.6k 1.4× 245 0.9× 177 0.9× 606 3.1× 196 1.1× 45 2.0k
Luciano M. Verdade Brazil 25 1.1k 1.0× 253 0.9× 89 0.5× 681 3.5× 102 0.6× 121 1.9k
Boštjan Pokorny Slovenia 17 638 0.6× 172 0.6× 186 0.9× 76 0.4× 80 0.4× 64 1.4k
David L. Scarnecchia United States 21 794 0.7× 178 0.6× 305 1.5× 353 1.8× 97 0.5× 81 1.9k
Fred C. Bryant United States 23 1.3k 1.2× 194 0.7× 373 1.9× 381 2.0× 89 0.5× 83 1.9k
Walfrido Moraes Tomás Brazil 21 1.0k 0.9× 165 0.6× 50 0.3× 421 2.2× 197 1.1× 98 1.7k
Philip Riordan United Kingdom 28 1.5k 1.3× 213 0.8× 223 1.1× 596 3.1× 490 2.7× 68 2.6k
Enrico Sturaro Italy 22 599 0.5× 292 1.0× 353 1.8× 111 0.6× 48 0.3× 107 1.6k

Countries citing papers authored by Heather E. Johnson

Since Specialization
Citations

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

Fields of papers citing papers by Heather E. Johnson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Heather E. Johnson. 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 Heather E. Johnson. The network helps show where Heather E. Johnson may publish in the future.

Co-authorship network of co-authors of Heather E. Johnson

This figure shows the co-authorship network connecting the top 25 collaborators of Heather E. Johnson. A scholar is included among the top collaborators of Heather E. Johnson based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Heather E. Johnson. Heather E. Johnson is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Johnson, Heather E., et al.. (2025). Estimating Spatially Explicit Survival and Mortality Risk From Telemetry Data With Thinned Point Process Models. Ecology Letters. 28(3). e70092–e70092.
2.
Artelle, Kyle A., et al.. (2024). From causes of conflict to solutions: Shifting the lens on human–carnivore coexistence research. Conservation Science and Practice. 6(11). 1 indexed citations
3.
Severson, John P., et al.. (2023). Effects of vehicle traffic on space use and road crossings of caribou in theArctic. Ecological Applications. 33(8). e2923–e2923. 5 indexed citations
4.
Cain, James W., Todd C. Atwood, Larisa E. Harding, et al.. (2022). Pleistocene–Holocene vicariance, not Anthropocene landscape change, explains the genetic structure of American black bear (Ursus americanus) populations in the American Southwest and northern Mexico. Ecology and Evolution. 12(10). e9406–e9406. 6 indexed citations
5.
Johnson, Heather E., et al.. (2021). Dynamic selection for forage quality and quantity in response to phenology and insects in an Arctic ungulate. Ecology and Evolution. 11(17). 11664–11688. 15 indexed citations
6.
Lischka, Stacy A., Tara L. Teel, Heather E. Johnson, et al.. (2020). Psychological drivers of risk‐reducing behaviors to limit human–wildlife conflict. Conservation Biology. 34(6). 1383–1392. 17 indexed citations
7.
8.
Johnson, Heather E., David L. Lewis, Stacy A. Lischka, & Stewart W. Breck. (2018). Assessing ecological and social outcomes of a bear‐proofing experiment. Journal of Wildlife Management. 82(6). 1102–1114. 26 indexed citations
9.
10.
Johnson, Heather E., et al.. (2017). Influence of Precipitation and Crop Germination on Resource Selection by Mule Deer (Odocoileus hemionus) in Southwest Colorado. Scientific Reports. 7(1). 15234–15234. 3 indexed citations
11.
Haack, Sheridan K., Joseph W. Duris, Dana W. Kolpin, et al.. (2016). Contamination with bacterial zoonotic pathogen genes in U.S. streams influenced by varying types of animal agriculture. The Science of The Total Environment. 563-564. 340–350. 21 indexed citations
12.
Brown, Matthew A., Paul Bird, Philip Robinson, et al.. (2015). Baseline Mri/crp as Predictors of Response to Etanercept in the Management of Patients with Non-Radiographic Axial Spondyloarthritis. Internal Medicine Journal. 45. 39–39. 1 indexed citations
13.
Johnson, Heather E., et al.. (2014). PTU-109 Azathioprine In The Elderly – Is It Tolerated And Is It Safe?. Gut. 63(Suppl 1). A87.1–A87. 3 indexed citations
14.
Johnson, Heather E., et al.. (2013). PTH-115 Outcome of Ulcerative Colitis Patients that have Failed Conventional Thiopurine Therapy; Allopurinol Co-Therapy and Beyond. Gut. 62(Suppl 1). A257.3–A258. 1 indexed citations
15.
Johnson, Heather E., et al.. (2012). Evaluating apparent competition in limiting the recovery of an endangered ungulate. Oecologia. 171(1). 295–307. 52 indexed citations
16.
Johnson, Heather E., L. Scott Mills, Thomas R. Stephenson, & John D. Wehausen. (2010). Population‐specific vital rate contributions influence management of an endangered ungulate. Ecological Applications. 20(6). 1753–1765. 111 indexed citations
17.
Johnson, Heather E., Vernon C. Bleich, & Paul R. Krausman. (2007). MINERAL DEFICIENCIES IN TULE ELK, OWENS VALLEY, CALIFORNIA. Journal of Wildlife Diseases. 43(1). 61–74. 39 indexed citations
18.
Johnson, Heather E., Vernon C. Bleich, & Paul R. Krausman. (2005). ANTLER BREAKAGE IN TULE ELK, OWENS VALLEY, CALIFORNIA. Journal of Wildlife Management. 69(4). 1747–1752. 12 indexed citations
19.
Ullrey, D. E., et al.. (1975). Phosphorus Requirements of Weaned White-Tailed Deer Fawns. Journal of Wildlife Management. 39(3). 590–590. 21 indexed citations
20.
Ullrey, D. E., et al.. (1972). Disestibility and estimated metabolizability of aspen browse for white-tailed deer. Digital Commons - USU (Utah State University). 16 indexed citations

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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