D. R. Grimm

701 total citations
10 papers, 516 citations indexed

About

D. R. Grimm is a scholar working on Molecular Biology, Genetics and Plant Science. According to data from OpenAlex, D. R. Grimm has authored 10 papers receiving a total of 516 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 4 papers in Genetics and 3 papers in Plant Science. Recurrent topics in D. R. Grimm's work include Genetic Mapping and Diversity in Plants and Animals (4 papers), Molecular Biology Techniques and Applications (3 papers) and Chronic Obstructive Pulmonary Disease (COPD) Research (2 papers). D. R. Grimm is often cited by papers focused on Genetic Mapping and Diversity in Plants and Animals (4 papers), Molecular Biology Techniques and Applications (3 papers) and Chronic Obstructive Pulmonary Disease (COPD) Research (2 papers). D. R. Grimm collaborates with scholars based in United States and China. D. R. Grimm's co-authors include Perry B. Cregan, Youlin Zhu, David L. Hyten, Lakshmi K. Matukumalli, Qijian Song, Nevin D. Young, Edward Fickus, Curtis P. Van Tassell, Michael L. Misfeldt and Peter L. Almenoff and has published in prestigious journals such as Genetics, CHEST Journal and Archives of Physical Medicine and Rehabilitation.

In The Last Decade

D. R. Grimm

9 papers receiving 496 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
D. R. Grimm United States 9 298 136 99 72 60 10 516
Akihito Ozawa Japan 15 142 0.5× 95 0.7× 150 1.5× 47 0.7× 69 1.1× 74 705
Erol Yıldırım Türkiye 15 228 0.8× 201 1.5× 56 0.6× 42 0.6× 61 1.0× 111 742
C. A. Jones United Kingdom 7 311 1.0× 231 1.7× 110 1.1× 9 0.1× 26 0.4× 8 631
Jocelyn M. Bischof Canada 11 242 0.8× 309 2.3× 350 3.5× 14 0.2× 267 4.5× 11 818
Mimoza Hoti United Kingdom 6 145 0.5× 173 1.3× 278 2.8× 36 0.5× 19 0.3× 7 508
D. A. Vaske United States 8 79 0.3× 577 4.2× 234 2.4× 17 0.2× 20 0.3× 14 784
A. Drouet France 13 202 0.7× 20 0.1× 207 2.1× 84 1.2× 34 0.6× 86 730
Roser Morató Spain 24 116 0.4× 123 0.9× 465 4.7× 7 0.1× 37 0.6× 58 1.4k
F Maritato Italy 14 124 0.4× 71 0.5× 112 1.1× 22 0.3× 4 0.1× 20 653
Hanna Schmidt Germany 13 228 0.8× 40 0.3× 141 1.4× 6 0.1× 79 1.3× 21 534

Countries citing papers authored by D. R. Grimm

Since Specialization
Citations

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

Fields of papers citing papers by D. R. Grimm

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of D. R. Grimm

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

All Works

10 of 10 papers shown
1.
Zhu, Youlin, Qijian Song, David L. Hyten, et al.. (2003). Single-Nucleotide Polymorphisms in Soybean. Genetics. 163(3). 1123–1134. 321 indexed citations
2.
Grimm, D. R., Dipak Chandy, Peter L. Almenoff, Gregory J. Schilero, & Marvin Lesser. (2000). Airway Hyperreactivity in Subjects With Tetraplegia Is Associated With Reduced Baseline Airway Caliber. CHEST Journal. 118(5). 1397–1404. 33 indexed citations
3.
Zhao, Fangfang, Sakthikumar Ambady, F. Abel Ponce de Léon, et al.. (1999). Microsatellite markers from a microdissected swine chromosome 6 genomic library. Animal Genetics. 30(4). 251–255. 8 indexed citations
4.
Almenoff, Peter L., et al.. (1998). Resistive inspiratory muscle training in subjects with chronic cervical spinal cord injury. Archives of Physical Medicine and Rehabilitation. 79(3). 293–297. 68 indexed citations
5.
Ramsoondar, Jagdeece, Edmund B. Rucker, D. S. Gallagher, et al.. (1998). Isolation and genetic characterization of the porcine apolipoprotein E gene. Animal Genetics. 29(1). 43–47. 9 indexed citations
7.
Ambady, Sakthikumar, Charles F. Louis, Lawrence B. Schook, et al.. (1997). Development and use of a microdissected swine chromosome 6 DNA library. Cytogenetic and Genome Research. 76(1-2). 27–33. 9 indexed citations
8.
Grimm, D. R., T. Goldman, Rhonda R. Holley-Shanks, et al.. (1997). Mapping of microsatellite markers developed from a flow-sorted swine chromosome 6 library. Mammalian Genome. 8(3). 193–199. 8 indexed citations
9.
Grimm, D. R., T. Goldman, Robert W. Holley, & Joan K. Lunney. (1994). Characterization of a porcine chromosome 6 specific library.. Proceedings of the World Congress on Genetics applied to Livestock Production. 2. 34–35.
10.
Misfeldt, Michael L. & D. R. Grimm. (1994). Sinclair miniature swine: an animal model of human melanoma. Veterinary Immunology and Immunopathology. 43(1-3). 167–175. 51 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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