Michael K. Dowd

6.5k total citations
203 papers, 5.1k citations indexed

About

Michael K. Dowd is a scholar working on Plant Science, Molecular Biology and Oceanography. According to data from OpenAlex, Michael K. Dowd has authored 203 papers receiving a total of 5.1k indexed citations (citations by other indexed papers that have themselves been cited), including 73 papers in Plant Science, 40 papers in Molecular Biology and 31 papers in Oceanography. Recurrent topics in Michael K. Dowd's work include Research in Cotton Cultivation (61 papers), Carbohydrate Chemistry and Synthesis (15 papers) and Marine and fisheries research (14 papers). Michael K. Dowd is often cited by papers focused on Research in Cotton Cultivation (61 papers), Carbohydrate Chemistry and Synthesis (15 papers) and Marine and fisheries research (14 papers). Michael K. Dowd collaborates with scholars based in United States, Canada and Australia. Michael K. Dowd's co-authors include Alfred D. French, Peter J. Reilly, H. N. Cheng, Zhongqi He, Jay E. Mellon, Melisa C. Wong, Peter J. Cotty, Glenn P. Johnson, Anne‐Marie Kelterer and Jann Paul Mattern and has published in prestigious journals such as Circulation, Nature Communications and Journal of Clinical Oncology.

In The Last Decade

Michael K. Dowd

200 papers receiving 4.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael K. Dowd United States 41 1.3k 1.3k 673 665 657 203 5.1k
Hyun Park South Korea 45 1.1k 0.8× 2.8k 2.2× 152 0.2× 316 0.5× 289 0.4× 418 7.5k
J. Grant Burgess United Kingdom 44 315 0.2× 2.6k 2.0× 317 0.5× 528 0.8× 390 0.6× 116 6.3k
Michael Richter Germany 38 742 0.6× 1.5k 1.2× 510 0.8× 368 0.6× 494 0.8× 137 4.5k
Shuzhen Li China 42 962 0.7× 1.4k 1.1× 588 0.9× 888 1.3× 226 0.3× 276 6.7k
Xiaoru Wang China 46 1.2k 0.9× 2.5k 2.0× 168 0.2× 597 0.9× 178 0.3× 218 6.1k
Takeshi Yamamoto Japan 50 348 0.3× 2.8k 2.2× 590 0.9× 332 0.5× 392 0.6× 367 8.4k
Chuang Liu China 36 408 0.3× 1.3k 1.0× 428 0.6× 605 0.9× 428 0.7× 252 4.9k
Ying Wang China 41 620 0.5× 1.5k 1.2× 76 0.1× 782 1.2× 268 0.4× 369 6.0k
Fei Li China 40 514 0.4× 1.1k 0.8× 214 0.3× 369 0.6× 325 0.5× 226 5.5k
Ying Xu China 44 282 0.2× 2.7k 2.1× 525 0.8× 313 0.5× 732 1.1× 254 6.7k

Countries citing papers authored by Michael K. Dowd

Since Specialization
Citations

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

Fields of papers citing papers by Michael K. Dowd

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael K. Dowd. 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 Michael K. Dowd. The network helps show where Michael K. Dowd may publish in the future.

Co-authorship network of co-authors of Michael K. Dowd

This figure shows the co-authorship network connecting the top 25 collaborators of Michael K. Dowd. A scholar is included among the top collaborators of Michael K. Dowd 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 Michael K. Dowd. Michael K. Dowd 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.
Campbell, David A., et al.. (2024). Functional data analysis to describe and classify southern resident killer whale calls. Ecological Informatics. 83. 102841–102841.
2.
Zakaria, Ali, et al.. (2022). EUS-guided liver biopsy using a modified wet heparin suction technique. VideoGIE. 7(10). 348–349. 4 indexed citations
3.
Cheng, H. N., et al.. (2021). Adhesive performance of cottonseed protein modified by catechol-containing compounds. Journal of Adhesion Science and Technology. 36(16). 1781–1793. 5 indexed citations
4.
Cheng, H. N., et al.. (2019). Cottonseed protein-based wood adhesive reinforced with nanocellulose. Journal of Adhesion Science and Technology. 33(12). 1357–1368. 46 indexed citations
5.
Cheng, H. N., et al.. (2018). Evaluation of adhesion properties of blends of cottonseed protein and anionic water-soluble polymers. Journal of Adhesion Science and Technology. 33(1). 66–78. 14 indexed citations
6.
Cheng, H. N., et al.. (2017). Wood adhesive properties of cottonseed protein with denaturant additives. Journal of Adhesion Science and Technology. 31(24). 2657–2666. 18 indexed citations
7.
Britten, Gregory L., et al.. (2017). Extended fisheries recovery timelines in a changing environment. Nature Communications. 8(1). 15325–15325. 48 indexed citations
8.
Kim, Hee Jin, Yongliang Liu, Michael K. Dowd, et al.. (2016). Comparative Phenotypic Analysis of Gossypium raimondii with Upland Cotton. ˜The œjournal of cotton science/Journal of cotton science. 20(2). 132–144. 4 indexed citations
9.
Scheffler, Jodi, et al.. (2015). Cotton Half-Seed Selection Strategy for Gossypol and Its Plus Isomer. ˜The œjournal of cotton science/Journal of cotton science. 19(2). 279–289. 2 indexed citations
10.
Stipanovic, Robert D., Lorraine S. Puckhaber, James Frelichowski, et al.. (2015). Gossypolhemiquinone, a dimeric sesquiterpenoid identified in cotton (Gossypium). Phytochemistry. 122. 165–171. 5 indexed citations
12.
Dowd, Michael K., Deborah L. Boykin, William Meredith, et al.. (2010). Fatty acid profiles of cottonseed genotypes from the national cotton variety trials.. ˜The œjournal of cotton science/Journal of cotton science. 14(2). 64–73. 59 indexed citations
13.
Stevens, Edwin D., et al.. (2010). 6,6′-Dimethoxygossypolone. Acta Crystallographica Section C Crystal Structure Communications. 66(10). o517–o520. 3 indexed citations
14.
Dowd, Michael K., et al.. (2008). HPLC preparation of the chiral forms of 6-methoxy-gossypol and 6,6′-dimethoxy-gossypol. Journal of Chromatography B. 867(1). 69–77. 13 indexed citations
15.
Mitton, Kenneth P., J. M. Johnson, & Michael K. Dowd. (2003). Finding Protein Binding Motifs of Human Retinal Disease Proteins Using a Random-peptide Yeast Two-hybrid / Bioinformatics Strategy. Investigative Ophthalmology & Visual Science. 44(13). 4558–4558. 1 indexed citations
16.
Dowd, Michael K., et al.. (2003). New thioderivatives of gossypol and gossypolone, as prodrugs of cytotoxic agents. Bioorganic & Medicinal Chemistry. 11(9). 2001–2006. 18 indexed citations
17.
Rockey, William M., Michael K. Dowd, Peter J. Reilly, & Alfred D. French. (2001). Modeling of deoxy- and dideoxyaldohexopyranosyl ring puckering with MM3(92). Carbohydrate Research. 335(4). 261–273. 18 indexed citations
18.
French, Alfred D., Anne‐Marie Kelterer, Glenn P. Johnson, Michael K. Dowd, & Christopher J. Cramer. (2000). Constructing and evaluating energy surfaces of crystalline disaccharides. Journal of Molecular Graphics and Modelling. 18(2). 95–107. 55 indexed citations
19.
Dowd, Michael K., Jing Zeng, Alfred D. French, & Peter J. Reilly. (1992). Conformational analysis of the anomeric forms of kojibiose, nigerose, and maltose using MM3. Carbohydrate Research. 230(2). 223–244. 91 indexed citations
20.
Dowd, Michael K., et al.. (1991). Effect of temperature on the myoglobin-facilitated transport of oxygen in skeletal muscle. Biophysical Journal. 60(1). 160–171. 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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