I.L. Mao

1.5k total citations
49 papers, 1.2k citations indexed

About

I.L. Mao is a scholar working on Genetics, Agronomy and Crop Science and Animal Science and Zoology. According to data from OpenAlex, I.L. Mao has authored 49 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Genetics, 29 papers in Agronomy and Crop Science and 16 papers in Animal Science and Zoology. Recurrent topics in I.L. Mao's work include Genetic and phenotypic traits in livestock (40 papers), Reproductive Physiology in Livestock (18 papers) and Effects of Environmental Stressors on Livestock (13 papers). I.L. Mao is often cited by papers focused on Genetic and phenotypic traits in livestock (40 papers), Reproductive Physiology in Livestock (18 papers) and Effects of Environmental Stressors on Livestock (13 papers). I.L. Mao collaborates with scholars based in United States, Denmark and Norway. I.L. Mao's co-authors include M.D. Royal, P. C. Garnsworthy, J.E. Pryce, Just Jensen, Morten Beck Rye, Per Madsen, Min Dong, C. R. Anderson, L. Buttazzoni and B. B. Andersen and has published in prestigious journals such as Journal of Dairy Science, Theoretical and Applied Genetics and Journal of Animal Science.

In The Last Decade

I.L. Mao

48 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
I.L. Mao United States	18	1.0k	765	348	126	101	49	1.2k
C. Smith Canada	20	1.3k 1.2×	463 0.6×	397 1.1×	308 2.4×	173 1.7×	55	1.5k
C. S. Taylor United Kingdom	20	773 0.8×	515 0.7×	443 1.3×	66 0.5×	118 1.2×	47	1.1k
M. Koger United States	21	842 0.8×	626 0.8×	437 1.3×	163 1.3×	95 0.9×	72	1.2k
L. A. Swiger United States	13	1.3k 1.3×	817 1.1×	747 2.1×	215 1.7×	171 1.7×	39	1.7k
Robledo de Almeida Torres Brazil	16	715 0.7×	370 0.5×	394 1.1×	277 2.2×	83 0.8×	103	935
M. W. Tess United States	20	720 0.7×	448 0.6×	453 1.3×	103 0.8×	212 2.1×	63	1.1k
L. L. Benyshek United States	23	919 0.9×	462 0.6×	549 1.6×	172 1.4×	189 1.9×	48	1.1k
C. R. Long United States	18	598 0.6×	524 0.7×	266 0.8×	112 0.9×	40 0.4×	63	894
M. Hossein Yazdi Iran	15	520 0.5×	321 0.4×	353 1.0×	104 0.8×	216 2.1×	46	855
C.M.B. Dematawewa Sri Lanka	10	435 0.4×	398 0.5×	242 0.7×	53 0.4×	52 0.5×	25	626

Countries citing papers authored by I.L. Mao

Since Specialization

Citations

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

Fields of papers citing papers by I.L. Mao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by I.L. Mao. 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 I.L. Mao. The network helps show where I.L. Mao may publish in the future.

Co-authorship network of co-authors of I.L. Mao

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

All Works

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20 of 20 papers shown

Mao, I.L., et al.. (1995). Association of Alleles for the Class I Bovine Lymphocyte Antigens with Conformation, Semen Traits, and Growth Rate of Young Bulls. Journal of Dairy Science. 78(4). 908–913. 6 indexed citations

Mao, I.L., et al.. (1994). Additive genetic and maternal effects on postweaning growth and carcass traits in rabbits. Journal of Animal Breeding and Genetics. 111(1-6). 289–297. 10 indexed citations

Svendsen, Martin Veel, et al.. (1994). Genetic correlations in the feed conversion complex of primiparous cows at a recommended and a reduced plane of nutrition. Journal of Animal Science. 72(6). 1441–1449. 19 indexed citations

Mao, I.L., et al.. (1993). Sources of Variation in Partitioning of Intake Energy for Lactating Holstein Cows. Journal of Dairy Science. 76(5). 1334–1341. 6 indexed citations

Svendsen, Martin Veel, et al.. (1993). Genetic parameters in the feed conversion complex of primiparous cows in the first two trimesters. Journal of Animal Science. 71(7). 1721–1729. 20 indexed citations

Wright, D., et al.. (1992). Growth characteristics of Senepol bulls fed various energy levels over different time periods, under tropical conditions. Tropical Agriculture. 69(2). 181–185. 1 indexed citations

Mao, I.L., et al.. (1992). Estimation of Residual Energy Intake for Lactating Cows Using an Animal Model. Journal of Dairy Science. 75(8). 2283–2287. 31 indexed citations

Jensen, Just, I.L. Mao, B. B. Andersen, & Per Madsen. (1992). Phenotypic and genetic relationships between residual energy intake and growth, feed intake, and carcass traits of young bulls. Journal of Animal Science. 70(2). 386–395. 38 indexed citations

Sehested, E. & I.L. Mao. (1992). Responses to selection on genotypic or phenotypic values in the presence of genes with major effects. Theoretical and Applied Genetics. 85(4). 403–406. 7 indexed citations

10.

Mao, I.L., et al.. (1991). Selection of Bulls for Progeny Testing Using Pedigree Indices and Characteristics of Potential Bull-Dams' Herds. Journal of Dairy Science. 74(8). 2747–2756. 5 indexed citations

11.

Jensen, Just, I.L. Mao, B. B. Andersen, & Per Madsen. (1991). Genetic parameters of growth, feed intake, feed conversion and carcass composition of dual-purpose bulls in performance testing.. Journal of Animal Science. 69(3). 931–931. 16 indexed citations

12.

Jensen, Just & I.L. Mao. (1991). Estimation of Genetic Parameters Using Sampled Data from Populations Undergoing Selection. Journal of Dairy Science. 74(10). 3544–3551. 11 indexed citations

13.

Mao, I.L., et al.. (1990). The use of animal models for estimation of residual energy efficiency.. Journal of Dairy Science. 73. 1 indexed citations

14.

Mao, I.L., et al.. (1990). Sources of variation in energy and efficiency measures of lactating cows in energy chamber.. Journal of Dairy Science. 73. 1 indexed citations

15.

Mao, I.L., et al.. (1990). Relationship Between Dam's Age at Bull's Birth and Bull's Genetic Evaluation. Journal of Dairy Science. 73(5). 1327–1336. 6 indexed citations

16.

Mao, I.L., et al.. (1990). Stochastic Modeling of Multiple Ovulation and Embryo Transfer Breeding Schemes in Small Closed Dairy Cattle Populations. Journal of Dairy Science. 73(7). 1938–1944. 4 indexed citations

17.

Moore, Thomas L. & I.L. Mao. (1990). Prediction of Total Intake of Dry Matter and Net Energy in a Lactation. Journal of Dairy Science. 73(5). 1255–1262. 9 indexed citations

18.

Buttazzoni, L. & I.L. Mao. (1989). Genetic Parameters of Estimated Net Energy Efficiencies for Milk Production, Maintenance, and Body Weight Change in Dairy Cows. Journal of Dairy Science. 72(3). 671–677. 19 indexed citations

19.

Mao, I.L., et al.. (1989). Modeling Net Energy Efficiencies as Quantitative Characteristics in Lactating Cows. Journal of Dairy Science. 72(9). 2362–2374. 17 indexed citations

20.

Hanover, James W., et al.. (1988). Genetic variation and control of intraspecific crossability in blue and Engelmann spruce. Silvae genetica. 37. 112–118. 2 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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