John R. MacMillan

1.7k total citations
30 papers, 1.2k citations indexed

About

John R. MacMillan is a scholar working on Immunology, Nature and Landscape Conservation and Molecular Biology. According to data from OpenAlex, John R. MacMillan has authored 30 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Immunology, 5 papers in Nature and Landscape Conservation and 4 papers in Molecular Biology. Recurrent topics in John R. MacMillan's work include Aquaculture disease management and microbiota (13 papers), Fish Ecology and Management Studies (5 papers) and Identification and Quantification in Food (4 papers). John R. MacMillan is often cited by papers focused on Aquaculture disease management and microbiota (13 papers), Fish Ecology and Management Studies (5 papers) and Identification and Quantification in Food (4 papers). John R. MacMillan collaborates with scholars based in United States and Canada. John R. MacMillan's co-authors include Allan L. Gutjahr, Lynn W. Gelhar, James D. Bowker, Paul R. Bowser, James D. Rose, Barbara E. Warkentine, John G. Nickum, Peter W. Sorensen, Henry L. Bart and Jill A. Jenkins and has published in prestigious journals such as Water Resources Research, Aquaculture and Canadian Journal of Fisheries and Aquatic Sciences.

In The Last Decade

John R. MacMillan

30 papers receiving 984 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
John R. MacMillan United States 15 548 274 250 235 222 30 1.2k
José F. Muñoz Chile 24 336 0.6× 138 0.5× 485 1.9× 246 1.0× 25 0.1× 72 1.7k
Giuseppe Crescenzo Italy 23 68 0.1× 166 0.6× 115 0.5× 64 0.3× 66 0.3× 84 1.4k
Heng Wang China 25 72 0.1× 48 0.2× 139 0.6× 97 0.4× 5 0.0× 113 1.6k
Hiroyuki Yamamoto Japan 27 68 0.1× 18 0.1× 71 0.3× 25 0.1× 32 0.1× 115 2.6k
W. R. White United Kingdom 15 127 0.2× 356 1.3× 19 0.1× 44 0.2× 47 0.2× 26 1.4k
W D Watkins United States 12 168 0.3× 24 0.1× 162 0.6× 10 0.0× 55 0.2× 24 861
Xiaobing Lu China 25 158 0.3× 77 0.3× 427 1.7× 45 0.2× 4 0.0× 103 1.7k
Akihiko Nakayama Japan 19 253 0.5× 165 0.6× 24 0.1× 60 0.3× 5 0.0× 133 1.4k
Rong Wan China 22 95 0.2× 62 0.2× 53 0.2× 151 0.6× 226 1.0× 149 1.5k

Countries citing papers authored by John R. MacMillan

Since Specialization
Citations

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

Fields of papers citing papers by John R. MacMillan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John R. MacMillan. 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 John R. MacMillan. The network helps show where John R. MacMillan may publish in the future.

Co-authorship network of co-authors of John R. MacMillan

This figure shows the co-authorship network connecting the top 25 collaborators of John R. MacMillan. A scholar is included among the top collaborators of John R. MacMillan 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 John R. MacMillan. John R. MacMillan 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.
Vallejo, Roger L., Breno Fragomeni, Hao Cheng, et al.. (2020). Assessing Accuracy of Genomic Predictions for Resistance to Infectious Hematopoietic Necrosis Virus With Progeny Testing of Selection Candidates in a Commercial Rainbow Trout Breeding Population. Frontiers in Veterinary Science. 7. 590048–590048. 17 indexed citations
2.
Vallejo, Roger L., Hao Cheng, Breno Fragomeni, et al.. (2019). Genome-wide association analysis and accuracy of genome-enabled breeding value predictions for resistance to infectious hematopoietic necrosis virus in a commercial rainbow trout breeding population. Genetics Selection Evolution. 51(1). 47–47. 45 indexed citations
3.
Jenkins, Jill A., Henry L. Bart, James D. Bowker, et al.. (2014). Guidelines for the Use of Fishes in Research. 152 indexed citations
4.
Trushenski, Jesse, James D. Bowker, Steven J. Cooke, et al.. (2012). Issues Regarding the Use of Sedatives in Fisheries and the Need for Immediate‐Release Options. Transactions of the American Fisheries Society. 142(1). 156–170. 54 indexed citations
5.
MacMillan, John R., et al.. (2005). Stakeholder position paper: Aquaculture producer. Preventive Veterinary Medicine. 73(2-3). 197–202. 1 indexed citations
6.
MacMillan, John R., et al.. (2003). Best management practice development to minimize environmental impact from large flow-through trout farms. Aquaculture. 226(1-4). 91–99. 53 indexed citations
7.
Thiyagarajah, Arunthavarani, et al.. (2001). Neoplasms in cultured sunshine bass. Journal of Fish Diseases. 24(9). 551–556. 3 indexed citations
8.
Robb, Adrienne, Cynthia J. Bell, John R. MacMillan, & J. R. G. Hislop. (1994). Analysis of the whiting stomachs collected in the North Sea during the 1991 ICES stomach sampling project. 1 indexed citations
9.
MacMillan, John R.. (1991). Biological factors impinging upon control of external protozoan fish parasites. 1. 119–131. 9 indexed citations
10.
MacMillan, John R., et al.. (1990). Seasonal Trends in Intestinal Bacterial Flora of Farm-Raised Channel Catfish. Journal of Aquatic Animal Health. 2(3). 217–222. 29 indexed citations
11.
MacMillan, John R., et al.. (1990). Using Diagnostic Laboratory Records to Monitor Occurrence of Enteric Septicemia of Channel Catfish in Mississippi. Journal of Aquatic Animal Health. 2(3). 207–211. 10 indexed citations
12.
MacMillan, John R., Daniel M. Mulcahy, & Marsha L. Landolt. (1989). Cytopathology and Coagulopathy Associated with Viral Erythrocytic Necrosis in Chum Salmon. Journal of Aquatic Animal Health. 1(4). 255–262. 9 indexed citations
13.
MacMillan, John R., et al.. (1989). Experimental Induction of Proliferative Gill Disease in Specific-Pathogen-Free Channel Catfish. Journal of Aquatic Animal Health. 1(4). 245–254. 22 indexed citations
14.
Wilson, Robert P., et al.. (1988). Effect of recombinant bovine growth hormone administration on growth and body composition of channel catfish. Aquaculture. 73(1-4). 229–236. 30 indexed citations
15.
MacMillan, John R., et al.. (1988). Wound Healing of Incisions Closed with a Cyanoacrylate Adhesive. Transactions of the American Fisheries Society. 117(2). 190–195. 33 indexed citations
16.
MacMillan, John R., Marsha L. Landolt, & Daniel G. Mulcahy. (1979). An erythroleukemic-like disease in fish. 219–219. 1 indexed citations
17.
MacMillan, John R., et al.. (1979). Artificial Transmission to and Susceptibility of Puget Sound Fish to Viral Erythrocytic Necrosis (VEN). Journal of the Fisheries Research Board of Canada. 36(9). 1097–1101. 34 indexed citations
18.
Gelhar, Lynn W., et al.. (1978). Stochastic analysis of spatial variability in subsurface flows: 1. Comparison of one‐ and three‐dimensional flows. Water Resources Research. 14(2). 263–271. 365 indexed citations
19.
Gutjahr, Allan L., et al.. (1978). Stochastic analysis of spatial variability in subsurface flows: 2. Evaluation and application. Water Resources Research. 14(5). 953–959. 226 indexed citations
20.
Stewart, John H., et al.. (1977). Deep-Water Upper Paleozoic Rocks in North-Central Nevada—A Study of the Type Area of the Havallah Formation. 337–347. 15 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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