Dan J. Pantone

575 total citations
23 papers, 457 citations indexed

About

Dan J. Pantone is a scholar working on Plant Science, Pollution and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Dan J. Pantone has authored 23 papers receiving a total of 457 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Plant Science, 7 papers in Pollution and 6 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Dan J. Pantone's work include Weed Control and Herbicide Applications (6 papers), Pesticide and Herbicide Environmental Studies (6 papers) and Nematode management and characterization studies (5 papers). Dan J. Pantone is often cited by papers focused on Weed Control and Herbicide Applications (6 papers), Pesticide and Herbicide Environmental Studies (6 papers) and Nematode management and characterization studies (5 papers). Dan J. Pantone collaborates with scholars based in United States. Dan J. Pantone's co-authors include M. A. Tabatabai, Nicholas T. Basta, Milton E. McGiffen, John B. Masiunas, William A. Williams, Armand R. Maggenti, Robert A. Young, Bruce M. Pavlik, Charlotte V. Eberlein and P. Jordan and has published in prestigious journals such as Biological Conservation, Journal of Environmental Quality and Crop Science.

In The Last Decade

Dan J. Pantone

23 papers receiving 398 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dan J. Pantone United States 12 243 186 80 71 53 23 457
Margot Brooks South Africa 9 99 0.4× 188 1.0× 110 1.4× 34 0.5× 20 0.4× 14 394
Xi Xiong United States 12 283 1.2× 114 0.6× 34 0.4× 89 1.3× 16 0.3× 50 483
Gladis M. Zinati United States 13 190 0.8× 61 0.3× 237 3.0× 73 1.0× 84 1.6× 29 496
A. K. Singh India 11 205 0.8× 50 0.3× 164 2.0× 59 0.8× 60 1.1× 49 425
P. J. Stoffella United States 11 148 0.6× 70 0.4× 105 1.3× 98 1.4× 16 0.3× 26 358
Jacek Sosnowski Poland 10 299 1.2× 87 0.5× 50 0.6× 27 0.4× 55 1.0× 79 440
R. A. Youssef Egypt 12 276 1.1× 106 0.6× 173 2.2× 30 0.4× 34 0.6× 19 442
Xiang Shi China 10 234 1.0× 203 1.1× 25 0.3× 24 0.3× 18 0.3× 24 390
Patompong Saengwilai Thailand 15 629 2.6× 183 1.0× 67 0.8× 24 0.3× 148 2.8× 26 843
Giovanni Toderi Italy 5 125 0.5× 78 0.4× 238 3.0× 98 1.4× 85 1.6× 9 432

Countries citing papers authored by Dan J. Pantone

Since Specialization
Citations

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

Fields of papers citing papers by Dan J. Pantone

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dan J. Pantone. 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 Dan J. Pantone. The network helps show where Dan J. Pantone may publish in the future.

Co-authorship network of co-authors of Dan J. Pantone

This figure shows the co-authorship network connecting the top 25 collaborators of Dan J. Pantone. A scholar is included among the top collaborators of Dan J. Pantone 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 Dan J. Pantone. Dan J. Pantone 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.
Abbas, Hamed K., et al.. (2005). Response of multiple seeded cocklebur and other cocklebur types to herbicide treatment. Pest Management Science. 61(7). 643–648. 1 indexed citations
2.
Abbas, Hamed K., et al.. (2004). Biological Control and Use of Adjuvants against Multiple Seeded Cocklebur (Xanthium strumarium) in Comparison with Several Other Cocklebur Types. Biocontrol Science and Technology. 14(8). 855–860. 9 indexed citations
3.
Abbas, Hamed K., Dan J. Pantone, & Rex N. Paul. (1999). Characteristics of Multiple-Seeded Cocklebur: A Biotype of Common Cocklebur (Xanthium strumariumL.). Weed Technology. 13(2). 257–263. 8 indexed citations
4.
Pantone, Dan J. & Robert A. Young. (1996). AGNPS: A Software Program for Assessing Nonpoint Source Pesticide Pollution. HortTechnology. 6(4). 344–350. 2 indexed citations
5.
Morrison, John E., S L McElroy, K. N. Potter, H. Allen Torbert, & Dan J. Pantone. (1996). Technical Notes: Comparison of Three Methods of Residue Cover Measurements on Rainfall Simulator Sites. Transactions of the ASAE. 39(4). 1415–1417. 12 indexed citations
6.
Pantone, Dan J.. (1995). Replacement series analysis of the competitive interaction between a weed and a crop as influenced by a plant parasitic nematode. Fundamental & applied nematology. 18(1). 93–97. 7 indexed citations
7.
Pantone, Dan J., et al.. (1995). The reproductive attributes of an endangered plant as compared to a weedy congener. Biological Conservation. 71(3). 305–311. 21 indexed citations
8.
McGiffen, Milton E., Dan J. Pantone, & John B. Masiunas. (1994). Path Analysis of Tomato Yield Components in Relation to Competition with Black and Eastern Black Nightshade. Journal of the American Society for Horticultural Science. 119(1). 6–11. 34 indexed citations
9.
Basta, Nicholas T., Dan J. Pantone, & M. A. Tabatabai. (1993). Path Analysis of Heavy Metal Adsorption by Soil. Agronomy Journal. 85(5). 1054–1057. 156 indexed citations
10.
Pantone, Dan J., et al.. (1992). Path Analysis of Red Rice (Oryza sativaL.) Competition by Cultivated Rice. Weed Science. 40(2). 313–319. 19 indexed citations
11.
Pantone, Dan J. & Robert A. Young. (1992). INCORPORATING PESTICIDE TRANSPORT INTO THE AGNPS (AGRICULTURAL NONPOINT SOURCE) POLLUTION MODEL. HortScience. 27(6). 692a–692. 2 indexed citations
12.
Pantone, Dan J., Robert A. Young, Douglas D. Buhler, et al.. (1992). Water Quality Impacts Associated with Pre‐ and Postemergence Applications of Atrazine in Maize. Journal of Environmental Quality. 21(4). 567–573. 38 indexed citations
13.
Pantone, Dan J., et al.. (1991). Weed‐Crop Competition Models and Response‐Surface Analysis of Red Rice Competition in Cultivated Rice: A Review. Crop Science. 31(5). 1105–1110. 31 indexed citations
14.
Pantone, Dan J., et al.. (1991). Reciprocal Yield Analysis of Red Rice (Oryza sativa) Competition in Cultivated Rice. Weed Science. 39(1). 42–47. 45 indexed citations
15.
Pantone, Dan J., William A. Williams, & Armand R. Maggenti. (1989). An Alternative Approach for Evaluating the Efficacy of Potential Biocontrol Agents of Weeds. 2. Path Analysis. Weed Science. 37(6). 778–783. 11 indexed citations
16.
Pantone, Dan J., et al.. (1988). Herbicide Phytotoxicity Model for Assessing Herbicide Tolerance. Journal of Agronomy and Crop Science. 160(1). 54–59. 1 indexed citations
17.
Pantone, Dan J.. (1987). Host range of Anguina amsinckiae within the genus Amsinckia.. Revue de nématologie. 10(1). 117–119. 3 indexed citations
18.
Pantone, Dan J., et al.. (1987). Morphometric Analysis of Anguina amsinckiae from Three Host Species.. PubMed. 19(2). 158–63. 2 indexed citations
19.
Pantone, Dan J. & Christopher Womersley. (1986). The distribution of flower galls caused by Anguina amsinckiae on the weed, common fiddleneck, Amsinckia intermedia. Revue de nématologie. 9(2). 185–189. 1 indexed citations
20.
Pantone, Dan J., Stuart T. Brown, & Christopher Womersley. (1985). Biological control of fiddleneck. California Agriculture. 39(7). 4–5. 3 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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