Charles Kwit

1.0k total citations
43 papers, 756 citations indexed

About

Charles Kwit is a scholar working on Nature and Landscape Conservation, Ecology and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Charles Kwit has authored 43 papers receiving a total of 756 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Nature and Landscape Conservation, 17 papers in Ecology and 14 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Charles Kwit's work include Ecology and Vegetation Dynamics Studies (21 papers), Plant and animal studies (12 papers) and Fire effects on ecosystems (12 papers). Charles Kwit is often cited by papers focused on Ecology and Vegetation Dynamics Studies (21 papers), Plant and animal studies (12 papers) and Fire effects on ecosystems (12 papers). Charles Kwit collaborates with scholars based in United States, Malawi and Puerto Rico. Charles Kwit's co-authors include William Platt, C. Neal Stewart, Cathryn H. Greenberg, Douglas J. Levey, Hong S. Moon, Suzanne I. Warwick, Beverly Collins, Madhugiri Nageswara‐Rao, Joseph M. Wunderle and David N. Ewert and has published in prestigious journals such as Ecology, Remote Sensing of Environment and Conservation Biology.

In The Last Decade

Charles Kwit

42 papers receiving 712 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Charles Kwit United States 17 343 287 208 207 184 43 756
Robert C. Godfree Australia 16 253 0.7× 246 0.9× 186 0.9× 236 1.1× 366 2.0× 37 767
Rui B. Elias Portugal 17 309 0.9× 178 0.6× 184 0.9× 271 1.3× 187 1.0× 60 831
Andrew D. Bower United States 11 349 1.0× 255 0.9× 190 0.9× 138 0.7× 229 1.2× 23 868
Brianna Miles United States 5 450 1.3× 159 0.6× 192 0.9× 304 1.5× 232 1.3× 6 802
Roman Longauer Slovakia 16 356 1.0× 142 0.5× 252 1.2× 128 0.6× 288 1.6× 43 744
Mark R. Stromberg United States 13 306 0.9× 569 2.0× 165 0.8× 199 1.0× 234 1.3× 27 959
Jan Douda Czechia 20 371 1.1× 197 0.7× 146 0.7× 261 1.3× 433 2.4× 50 946
Simon Nadeau Canada 13 375 1.1× 159 0.6× 250 1.2× 100 0.5× 170 0.9× 20 827
Laura K. Gray Canada 11 497 1.4× 281 1.0× 400 1.9× 148 0.7× 151 0.8× 12 978
Sonja Gockel Germany 6 449 1.3× 342 1.2× 194 0.9× 375 1.8× 286 1.6× 6 966

Countries citing papers authored by Charles Kwit

Since Specialization
Citations

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

Fields of papers citing papers by Charles Kwit

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Charles Kwit

This figure shows the co-authorship network connecting the top 25 collaborators of Charles Kwit. A scholar is included among the top collaborators of Charles Kwit 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 Charles Kwit. Charles Kwit 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.
Cregger, Melissa A., et al.. (2024). Ant handling changes myrmecochore seed coat microbiomes and alters diversity of seed‐borne plant pathogenic fungi. Functional Ecology. 38(4). 861–874. 2 indexed citations
2.
Reid, J. Leighton, et al.. (2024). Seeding success: Integrating seed dispersal networks in tropical forest restoration. Biotropica. 57(1). 1 indexed citations
3.
Brown, Veronica A., et al.. (2024). Evaluating the winter diet of elk using DNA metabarcoding analysis. Wildlife Biology. 2025(2).
5.
Fordyce, James A., et al.. (2020). Nest substrate, more than ant activity, drives fungal pathogen community dissimilarity in seed-dispersing ant nests. Oecologia. 194(4). 649–657. 5 indexed citations
6.
Keyser, Patrick D., et al.. (2018). Fuel dynamics during oak woodland and savanna restoration in the Mid-South USA. International Journal of Wildland Fire. 28(1). 70–84. 10 indexed citations
7.
Kwit, Charles, et al.. (2018). Overall seed dispersal effectiveness is lower in endemic Trillium species than in their widespread congeners. American Journal of Botany. 105(11). 1847–1857. 5 indexed citations
8.
Millwood, Reginald J., Madhugiri Nageswara‐Rao, Rongjian Ye, et al.. (2017). Pollen-mediated gene flow from transgenic to non-transgenic switchgrass (Panicum virgatum L.) in the field. BMC Biotechnology. 17(1). 40–40. 10 indexed citations
9.
Nageswara‐Rao, Madhugiri, et al.. (2013). Sensitivity of a real-time PCR method for the detection of transgenes in a mixture of transgenic and non-transgenic seeds of papaya (Carica papayaL.). BMC Biotechnology. 13(1). 69–69. 9 indexed citations
10.
Nageswara‐Rao, Madhugiri, Jaya R. Soneji, Charles Kwit, & C. Neal Stewart. (2013). Advances in biotechnology and genomics of switchgrass. Biotechnology for Biofuels. 6(1). 77–77. 38 indexed citations
11.
Ridley, Caroline E., Henriëtte I. Jager, Christopher M. Clark, et al.. (2013). Debate: Can Bioenergy Be Produced in a Sustainable Manner That Protects Biodiversity and Avoids the Risk of Invaders?. Bulletin of the Ecological Society of America. 94(3). 277–290. 6 indexed citations
12.
Kwit, Charles, et al.. (2012). Advantages of Seed Dispersal for a Myrmecochorous Temperate Forest Herb. The American Midland Naturalist. 168(1). 9–17. 12 indexed citations
13.
Nageswara‐Rao, Madhugiri, C. Neal Stewart, & Charles Kwit. (2012). Genetic diversity and structure of natural and agronomic switchgrass (Panicum virgatum L.) populations. Genetic Resources and Crop Evolution. 60(3). 1057–1068. 10 indexed citations
14.
Kwit, Charles & C. Neal Stewart. (2011). Gene flow matters in switchgrass (Panicum virgatumL.), a potential widespread biofuel feedstock. Ecological Applications. 22(1). 3–7. 25 indexed citations
15.
Kwit, Charles, Hong S. Moon, Suzanne I. Warwick, & C. Neal Stewart. (2011). Transgene introgression in crop relatives: molecular evidence and mitigation strategies. Trends in biotechnology. 29(6). 284–293. 75 indexed citations
16.
Kwit, Charles & Beverly Collins. (2008). Native Grasses as a Management Alternative on Vegetated Closure Caps. Environmental Management. 41(6). 929–936. 6 indexed citations
17.
Drewa, Paul B., William Platt, Charles Kwit, & Thomas W. Doyle. (2007). Stand structure and dynamics of sand pine differ between the Florida panhandle and peninsula. Plant Ecology. 196(1). 15–25. 11 indexed citations
18.
Kwit, Charles, Douglas J. Levey, Cathryn H. Greenberg, et al.. (2004). Cold temperature increases winter fruit removal rate of a bird-dispersed shrub. Oecologia. 139(1). 30–34. 39 indexed citations
19.
Kwit, Charles, Douglas J. Levey, & Cathryn H. Greenberg. (2004). Contagious seed dispersal beneath heterospecific fruiting trees and its consequences. Oikos. 107(2). 303–308. 47 indexed citations
20.
Kwit, Charles, Carol C. Horvitz, & William Platt. (2004). Conserving Slow‐Growing, Long‐Lived Tree Species: Input from the Demography of a Rare Understory Conifer, Taxus floridana. Conservation Biology. 18(2). 432–443. 41 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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