Merry E. Makela

872 total citations
20 papers, 651 citations indexed

About

Merry E. Makela is a scholar working on Insect Science, Plant Science and Genetics. According to data from OpenAlex, Merry E. Makela has authored 20 papers receiving a total of 651 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Insect Science, 6 papers in Plant Science and 5 papers in Genetics. Recurrent topics in Merry E. Makela's work include Plant and animal studies (4 papers), Traumatic Brain Injury and Neurovascular Disturbances (4 papers) and Greenhouse Technology and Climate Control (3 papers). Merry E. Makela is often cited by papers focused on Plant and animal studies (4 papers), Traumatic Brain Injury and Neurovascular Disturbances (4 papers) and Greenhouse Technology and Climate Control (3 papers). Merry E. Makela collaborates with scholars based in United States, Chile and Mexico. Merry E. Makela's co-authors include Howard H. Kaufman, Philip L. Gildenberg, Nicholas D. Stone, Francis K. Lee, Regis W. Haid, Guy L. Clifton, Michael E. Miner, Stanley F. Handel, Robert G. Grossman and David P. Bernstein and has published in prestigious journals such as Genetics, Journal of neurosurgery and Neurosurgery.

In The Last Decade

Merry E. Makela

20 papers receiving 588 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Merry E. Makela United States 12 285 128 117 117 108 20 651
RH MacMillan United Kingdom 13 435 1.5× 33 0.3× 225 1.9× 275 2.4× 163 1.5× 20 742
F. Lees United Kingdom 18 37 0.1× 435 3.4× 170 1.5× 88 0.8× 355 3.3× 28 1.5k
Brian Tucker United States 11 110 0.4× 15 0.1× 63 0.5× 243 2.1× 147 1.4× 16 537
Lane M. Smith United States 15 27 0.1× 7 0.1× 58 0.5× 52 0.4× 68 0.6× 54 638
James P. Dunn United States 18 31 0.1× 148 1.2× 117 1.0× 3 0.0× 84 0.8× 32 849
İbrahim Baran Türkiye 18 12 0.0× 30 0.2× 65 0.6× 12 0.1× 198 1.8× 78 935
M. Thiel Germany 8 17 0.1× 9 0.1× 38 0.3× 44 0.4× 113 1.0× 24 335
Hansen Denmark 13 12 0.0× 36 0.3× 73 0.6× 4 0.0× 70 0.6× 55 515
Bihua Chen China 13 196 0.7× 5 0.0× 33 0.3× 16 0.1× 49 0.5× 64 1.3k
Yuichi Ono Japan 13 28 0.1× 4 0.0× 60 0.5× 173 1.5× 44 0.4× 28 643

Countries citing papers authored by Merry E. Makela

Since Specialization
Citations

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

Fields of papers citing papers by Merry E. Makela

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Merry E. Makela. 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 Merry E. Makela. The network helps show where Merry E. Makela may publish in the future.

Co-authorship network of co-authors of Merry E. Makela

This figure shows the co-authorship network connecting the top 25 collaborators of Merry E. Makela. A scholar is included among the top collaborators of Merry E. Makela 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 Merry E. Makela. Merry E. Makela 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.
Yang, Yubin, et al.. (1998). Effect of Leaf Age and Nodal Position on Receptivity of Rice Leaves to Infection by Pyricularia grisea. Journal of Phytopathology. 146(4). 157–164. 7 indexed citations
2.
Wilson, L. T., et al.. (1998). Accuracy of numerical methods for solving the advection–diffusion equation as applied to spore and insect dispersal. Ecological Modelling. 109(1). 1–24. 11 indexed citations
3.
Teetes, G. L., et al.. (1994). Predicting Sorghum Midge (Diptera: Cecidomyiidae) Generations and Abundance. Journal of Economic Entomology. 87(4). 993–998. 2 indexed citations
4.
Cochran, Mark, et al.. (1994). Inclusion of plant structure and fiber quality into a distributed delay cotton model to improve management and optimize profit. Ecological Modelling. 71(1-3). 161–186. 8 indexed citations
5.
Makela, Merry E., et al.. (1993). An object-oriented intracolonial and population level model of honey bees based on behaviors of European and Africanized subspecies. Ecological Modelling. 67(2-4). 259–284. 14 indexed citations
6.
Stone, Nicholas D., et al.. (1993). Generation of mechanistic variability in a process-based object-oriented plant model. Ecological Modelling. 67(2-4). 285–306. 10 indexed citations
7.
Makela, Merry E., et al.. (1992). Invasive dynamics of africanized honeybees in North America. Die Naturwissenschaften. 79(6). 281–283. 6 indexed citations
8.
Matis, J. H., William L. Rubink, & Merry E. Makela. (1992). Use of the Gamma Distribution for Predicting Arrival Times of Invading Insect Populations. Environmental Entomology. 21(3). 436–440. 14 indexed citations
9.
Sharpe, P., et al.. (1991). Object-oriented simulation: plant growth and discrete organ to organ interactions. Ecological Modelling. 58(1-4). 55–89. 50 indexed citations
10.
Stone, Nicholas D., et al.. (1990). Simulation of Boll Weevil (Coleoptera: Curculionidae) Spring Emergence and Overwintering Survival in the Texas Rolling Plains. Environmental Entomology. 19(1). 91–98. 13 indexed citations
11.
Holtzapple, Mark T., Frank E. Little, Merry E. Makela, & C. O. Pat Patterson. (1989). Analysis of an algae-based cellss. Acta Astronautica. 19(4). 353–364. 4 indexed citations
12.
Saarenmaa, Hannu, Nicholas D. Stone, L. Joseph Folse, et al.. (1988). An artificial intelligence modelling approach to simulating animal/habitat interactions. Ecological Modelling. 44(1-2). 125–141. 71 indexed citations
13.
Stone, Nicholas D., Merry E. Makela, & Frederick W. Plapp. (1988). Nonlinear Optimization Analysis of Insecticide Mixtures for the Control of the Tobacco Bud worm (Lepidoptera: Noctuidae). Journal of Economic Entomology. 81(4). 989–994. 6 indexed citations
14.
Kaufman, Howard H., Merry E. Makela, Francis K. Lee, Regis W. Haid, & Philip L. Gildenberg. (1986). Gunshot Wounds to the Head: A Perspective. Neurosurgery. 18(6). 689–695. 121 indexed citations
15.
Kaufman, Howard H., Joan C. Mattson, Adam Borit, et al.. (1984). Clinicopathological Correlations of Disseminated Intravascular Coagulation in Patients with Head Injury. Neurosurgery. 15(1). 34–42. 94 indexed citations
16.
Kaufman, Howard H., Merry E. Makela, Ralph F. Frankowski, et al.. (1983). Civilian gunshot wounds: The limits of salvageability. Acta Neurochirurgica. 67(1-2). 115–125. 41 indexed citations
17.
Clifton, Guy L., et al.. (1980). Neurological course and correlated computerized tomography findings after severe closed head injury. Journal of neurosurgery. 52(5). 611–624. 129 indexed citations
18.
Makela, Merry E. & M. D. Huettel. (1979). Model for genetic control of Heliothis virescens. Theoretical and Applied Genetics. 54(5). 225–233. 10 indexed citations
19.
Makela, Merry E., Sara A. Barton, William J. Schull, William H. Weidman, & Francisco Rothhammer. (1978). The multinational andean genetic and health program—IV. Altitude and the blood pressure of the aymara. Journal of Chronic Diseases. 31(9-10). 587–603. 18 indexed citations
20.
Makela, Merry E. & R. H. Richardson. (1977). THE DETECTION OF SYMPATRIC SIBLING SPECIES USING GENETIC CORRELATION ANALYSIS. I. TWO LOCI, TWO GAMODEMES. Genetics. 86(3). 665–678. 22 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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