W. M. Grosse

939 total citations
27 papers, 763 citations indexed

About

W. M. Grosse is a scholar working on Molecular Biology, Immunology and Genetics. According to data from OpenAlex, W. M. Grosse has authored 27 papers receiving a total of 763 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 9 papers in Immunology and 8 papers in Genetics. Recurrent topics in W. M. Grosse's work include RNA and protein synthesis mechanisms (7 papers), T-cell and Retrovirus Studies (6 papers) and Cancer-related molecular mechanisms research (6 papers). W. M. Grosse is often cited by papers focused on RNA and protein synthesis mechanisms (7 papers), T-cell and Retrovirus Studies (6 papers) and Cancer-related molecular mechanisms research (6 papers). W. M. Grosse collaborates with scholars based in United States, Australia and Switzerland. W. M. Grosse's co-authors include J. W. Keele, Michael P. Heaton, William W. Laegreid, Carol G. Chitko-McKown, Timothy P. L. Smith, Gary L. Bennett, Eduardo Casas, Royal A. McGraw, R. T. Stone and L. M. Kossarek and has published in prestigious journals such as Genome Research, Journal of Pharmacology and Experimental Therapeutics and Journal of Animal Science.

In The Last Decade

W. M. Grosse

27 papers receiving 728 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
W. M. Grosse United States 13 402 247 134 96 79 27 763
Г. Е. Сулимова Russia 14 490 1.2× 209 0.8× 80 0.6× 157 1.6× 93 1.2× 52 788
Kevin D. Burroughs United States 13 283 0.7× 191 0.8× 67 0.5× 133 1.4× 39 0.5× 20 802
Jan Zabielski Sweden 16 337 0.8× 793 3.2× 99 0.7× 57 0.6× 56 0.7× 35 1.1k
Yutaka Sendai Japan 17 259 0.6× 475 1.9× 154 1.1× 125 1.3× 58 0.7× 33 1.0k
Salvatrice Ciccarese Italy 19 259 0.6× 298 1.2× 477 3.6× 42 0.4× 34 0.4× 48 885
M Canivet France 16 255 0.6× 322 1.3× 221 1.6× 51 0.5× 42 0.5× 47 798
Marvin L. Macy United States 11 104 0.3× 252 1.0× 88 0.7× 59 0.6× 63 0.8× 14 561
Alessandra Gradi Canada 11 133 0.3× 722 2.9× 109 0.8× 95 1.0× 30 0.4× 11 1.0k
Wei‐Ru Huang Taiwan 14 234 0.6× 276 1.1× 58 0.4× 29 0.3× 53 0.7× 31 589
Alexis J. Kniazeff United States 13 128 0.3× 194 0.8× 94 0.7× 65 0.7× 56 0.7× 22 710

Countries citing papers authored by W. M. Grosse

Since Specialization
Citations

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

Fields of papers citing papers by W. M. Grosse

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by W. M. Grosse. 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 W. M. Grosse. The network helps show where W. M. Grosse may publish in the future.

Co-authorship network of co-authors of W. M. Grosse

This figure shows the co-authorship network connecting the top 25 collaborators of W. M. Grosse. A scholar is included among the top collaborators of W. M. Grosse 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 W. M. Grosse. W. M. Grosse 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.
Tan, Hua, Jin Tae Hong, W. M. Grosse, et al.. (2005). Global Transcriptional Profiling Demonstrates the Combination of Type I and Type II Interferon Enhances Antiviral and Immune Responses at Clinically Relevant Doses. Journal of Interferon & Cytokine Research. 25(10). 632–649. 29 indexed citations
2.
Taylor, Milton W., W. M. Grosse, Xiaoning Wu, et al.. (2004). Global Effect of PEG-IFN- α and Ribavirin on Gene Expression in PBMC In Vitro. Journal of Interferon & Cytokine Research. 24(2). 107–118. 72 indexed citations
3.
Stone, R. T., W. M. Grosse, Eduardo Casas, et al.. (2002). Use of bovine EST data and human genomic sequences to map 100 gene-specific bovine markers. Mammalian Genome. 13(4). 211–215. 41 indexed citations
4.
Heaton, Michael P., Gregory P. Harhay, Gary L. Bennett, et al.. (2002). Selection and use of SNP markers for animal identification and paternity analysis in U.S. beef cattle. Mammalian Genome. 13(5). 272–281. 176 indexed citations
5.
Heaton, Michael P., W. M. Grosse, Steven M. Kappes, et al.. (2001). Estimation of DNA sequence diversity in bovine cytokine genes. Mammalian Genome. 12(1). 32–37. 49 indexed citations
6.
Smith, Timothy P. L., W. M. Grosse, B. A. Freking, et al.. (2001). Sequence Evaluation of Four Pooled-Tissue Normalized Bovine cDNA Libraries and Construction of a Gene Index for Cattle. Genome Research. 11(4). 626–630. 94 indexed citations
7.
Heaton, Michael P., Carol G. Chitko-McKown, W. M. Grosse, et al.. (2001). Interleukin-8 haplotype structure from nucleotide sequence variation in commercial populations of U.S. beef cattle. Mammalian Genome. 12(3). 219–226. 33 indexed citations
8.
Grosse, W. M., S M Kappes, & Royal A. McGraw. (2000). Linkage mapping and comparative analysis of bovine expressed sequence tags (ESTs). Animal Genetics. 31(3). 171–177. 11 indexed citations
9.
Grosse, W. M.. (1999). Single nucleotide polymorphism (SNP) discovery and linkage mapping of bovine cytokine genes. Mammalian Genome. 10(11). 1062–1069. 62 indexed citations
10.
Kossarek, L. M., et al.. (1996). Seven bovine dinucleotide repeat polymorphisms: RM042, RM128, RM134, RM154, RM162, RM181, RM509. Animal Genetics. 27(1). 61–63. 4 indexed citations
11.
Kossarek, L. M., W. M. Grosse, Xin‐zhuan Su, et al.. (1995). Five bovine dinucleotide repeat polymorphisms: RM040, RM044, RM096, RM153 and RM179. Animal Genetics. 26(1). 57–58. 5 indexed citations
12.
Grosse, W. M., et al.. (1995). Five bovine microsatellite markers derived from skeletal muscle cDNA: RME01, RME11, RME23, RME25 and RME33. Animal Genetics. 26(2). 126–127. 13 indexed citations
13.
Kossarek, L. M., et al.. (1994). Five bovine dinucleotide repeat polymorphisms: RM026, RM029, RM032, NO33 and RM038. Animal Genetics. 25(4). 296–297. 7 indexed citations
14.
Kossarek, L. M., et al.. (1994). Five bovine dinucleotide repeat polymorphisms: RM011, RM012, RM016, RM019 and RM024. Animal Genetics. 25(3). 205–206. 8 indexed citations
15.
Kossarek, L. M., et al.. (1994). Rapid communication: bovine dinucleotide repeat polymorphism RM209. Journal of Animal Science. 72(2). 528–528. 1 indexed citations
16.
Kossarek, L. M., et al.. (1994). Rapid communication: bovine dinucleotide repeat polymorphism RM095. Journal of Animal Science. 72(1). 254–254. 3 indexed citations
17.
Kossarek, L. M., et al.. (1993). Rapid communication: bovine dinucleotide repeat polymorphism RM028. Journal of Animal Science. 71(11). 3177–3177. 1 indexed citations
18.
Kossarek, L. M., Xin‐zhuan Su, W. M. Grosse, et al.. (1993). Rapid communication: bovine dinucleotide repeat polymorphism RM106. Journal of Animal Science. 71(11). 3180–3180. 6 indexed citations
19.
Kossarek, L. M., W. M. Grosse, Allan B. Dietz, James E. Womack, & Royal A. McGraw. (1993). Rapid communication: bovine dinucleotide repeat polymorphism RM004. Journal of Animal Science. 71(11). 3175–3175. 6 indexed citations
20.
Kossarek, L. M., Xin‐zhuan Su, W. M. Grosse, et al.. (1993). Rapid communication: bovine dinucleotide repeat polymorphism RM067. Journal of Animal Science. 71(11). 3178–3178. 14 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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