Daniel P. Wickland

778 total citations
12 papers, 476 citations indexed

About

Daniel P. Wickland is a scholar working on Molecular Biology, Plant Science and Oncology. According to data from OpenAlex, Daniel P. Wickland has authored 12 papers receiving a total of 476 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 5 papers in Plant Science and 3 papers in Oncology. Recurrent topics in Daniel P. Wickland's work include Soybean genetics and cultivation (4 papers), Genomics and Rare Diseases (2 papers) and Plant Molecular Biology Research (2 papers). Daniel P. Wickland is often cited by papers focused on Soybean genetics and cultivation (4 papers), Genomics and Rare Diseases (2 papers) and Plant Molecular Biology Research (2 papers). Daniel P. Wickland collaborates with scholars based in United States, Taiwan and Brazil. Daniel P. Wickland's co-authors include Y. HANZAWA, Matthew E. Hudson, Gopal Battu, Karen A. Hudson, Brian W. Diers, Yan W. Asmann, Steven J. Clough, Fernando Cézar Juliatti, Xing Wu and Aaron S. Mansfield and has published in prestigious journals such as PLoS ONE, JNCI Journal of the National Cancer Institute and Journal of Experimental Botany.

In The Last Decade

Daniel P. Wickland

11 papers receiving 467 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel P. Wickland United States 6 372 253 75 32 27 12 476
Chunjiao Xia China 9 220 0.6× 172 0.7× 82 1.1× 72 2.3× 15 0.6× 15 362
Ya-Chen Huang Taiwan 9 404 1.1× 295 1.2× 32 0.4× 24 0.8× 12 0.4× 11 536
Chengxuan Chen United States 8 323 0.9× 205 0.8× 67 0.9× 33 1.0× 9 0.3× 17 485
Shubho Chaudhuri India 13 484 1.3× 348 1.4× 36 0.5× 11 0.3× 14 0.5× 24 613
Yuhui Xu China 12 265 0.7× 161 0.6× 143 1.9× 18 0.6× 10 0.4× 22 430
Shiri Freilich Israel 9 144 0.4× 141 0.6× 43 0.6× 15 0.5× 14 0.5× 11 300
Richard M. Ingram United Kingdom 4 670 1.8× 644 2.5× 40 0.5× 15 0.5× 42 1.6× 8 783
Yanwei Cui China 17 620 1.7× 607 2.4× 27 0.4× 21 0.7× 21 0.8× 19 777
Asjad Basheer United States 8 159 0.4× 303 1.2× 35 0.5× 29 0.9× 23 0.9× 11 463
John C. Harris Australia 10 518 1.4× 361 1.4× 27 0.4× 40 1.3× 4 0.1× 16 683

Countries citing papers authored by Daniel P. Wickland

Since Specialization
Citations

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

Fields of papers citing papers by Daniel P. Wickland

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel P. Wickland. 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 Daniel P. Wickland. The network helps show where Daniel P. Wickland may publish in the future.

Co-authorship network of co-authors of Daniel P. Wickland

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel P. Wickland. A scholar is included among the top collaborators of Daniel P. Wickland 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 Daniel P. Wickland. Daniel P. Wickland is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

12 of 12 papers shown
1.
Wickland, Daniel P., Erik Jessen, Brian M. Necela, et al.. (2024). Comprehensive profiling of cancer neoantigens from aberrant RNA splicing. Journal for ImmunoTherapy of Cancer. 12(5). e008988–e008988. 4 indexed citations
2.
Wang, Xue, Vivekananda Sarangi, Daniel P. Wickland, et al.. (2024). Identification of gene regulatory networks associated with breast cancer patient survival using an interpretable deep neural network model. Expert Systems with Applications. 262. 125632–125632. 1 indexed citations
3.
Liu, Xing, et al.. (2023). Promoter deletion in the soybean Compact mutant leads to overexpression of a gene with homology to the C20-gibberellin 2-oxidase family. Journal of Experimental Botany. 74(17). 5153–5165. 2 indexed citations
4.
5.
Wickland, Daniel P., et al.. (2022). Lower Exome Sequencing Coverage of Ancestrally African Patients in The Cancer Genome Atlas. JNCI Journal of the National Cancer Institute. 114(8). 1192–1199. 8 indexed citations
6.
Wickland, Daniel P., Yingxue Ren, Jason P. Sinnwell, et al.. (2021). Impact of variant-level batch effects on identification of genetic risk factors in large sequencing studies. PLoS ONE. 16(4). e0249305–e0249305. 5 indexed citations
7.
Ogony, Joshua, Derek C. Radisky, Kathryn J. Ruddy, et al.. (2020). Immune Responses and Risk of Triple-negative Breast Cancer: Implications for Higher Rates among African American Women. Cancer Prevention Research. 13(11). 901–910. 10 indexed citations
8.
Ren, Yingxue, Yesesri Cherukuri, Daniel P. Wickland, et al.. (2020). HLA class-I and class-II restricted neoantigen loads predict overall survival in breast cancer. OncoImmunology. 9(1). 1744947–1744947. 28 indexed citations
9.
Chang, Hao‐Xun, Zixiang Wen, Ruijuan Tan, et al.. (2019). Linkage Mapping for Foliar Necrosis of Soybean Sudden Death Syndrome. Phytopathology. 110(4). 907–915. 3 indexed citations
10.
Wickland, Daniel P., Gopal Battu, Karen A. Hudson, Brian W. Diers, & Matthew E. Hudson. (2017). A comparison of genotyping-by-sequencing analysis methods on low-coverage crop datasets shows advantages of a new workflow, GB-eaSy. BMC Bioinformatics. 18(1). 586–586. 55 indexed citations
11.
12.
Wickland, Daniel P. & Y. HANZAWA. (2015). The FLOWERING LOCUS T/TERMINAL FLOWER 1 Gene Family: Functional Evolution and Molecular Mechanisms. Molecular Plant. 8(7). 983–997. 313 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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