George D. Montoya

818 total citations
17 papers, 668 citations indexed

About

George D. Montoya is a scholar working on Immunology, Surgery and Molecular Biology. According to data from OpenAlex, George D. Montoya has authored 17 papers receiving a total of 668 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Immunology, 3 papers in Surgery and 3 papers in Molecular Biology. Recurrent topics in George D. Montoya's work include T-cell and B-cell Immunology (6 papers), Immune Cell Function and Interaction (3 papers) and Bone health and osteoporosis research (3 papers). George D. Montoya is often cited by papers focused on T-cell and B-cell Immunology (6 papers), Immune Cell Function and Interaction (3 papers) and Bone health and osteoporosis research (3 papers). George D. Montoya collaborates with scholars based in United States, United Kingdom and Canada. George D. Montoya's co-authors include Richard Baumgartner, Debra L. Waters, Lonnie D. Russell, Terecita D. Yule, Kenneth S. K. Tung, Philip J. Garry, John E. Morley, Philip J. Garry, R N Baumgartner and Ping Patrick and has published in prestigious journals such as The Journal of Immunology, Annals of the New York Academy of Sciences and International Journal of Cancer.

In The Last Decade

George D. Montoya

17 papers receiving 641 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
George D. Montoya United States	12	208	138	130	123	122	17	668
Brian R. Winters United States	12	203 1.0×	189 1.4×	164 1.3×	144 1.2×	191 1.6×	17	761
Julieta Maymó Argentina	18	217 1.0×	73 0.5×	211 1.6×	183 1.5×	127 1.0×	29	1.0k
Keith D. Boehm United States	13	56 0.3×	79 0.6×	233 1.8×	215 1.7×	288 2.4×	20	1.0k
Piotr Fichna Poland	17	89 0.4×	186 1.3×	99 0.8×	168 1.4×	246 2.0×	71	1.0k
Bobbie Mayhew United States	8	136 0.7×	155 1.1×	38 0.3×	118 1.0×	189 1.5×	9	664
Ada R. Wolfsen United States	18	148 0.7×	99 0.7×	53 0.4×	68 0.6×	235 1.9×	24	867
Zeynel Mungan Türkiye	20	229 1.1×	568 4.1×	53 0.4×	32 0.3×	168 1.4×	66	1.1k
Flora Sánchez-Jiménez Spain	11	207 1.0×	27 0.2×	189 1.5×	78 0.6×	159 1.3×	16	658
Chunming Guo China	17	182 0.9×	78 0.6×	38 0.3×	113 0.9×	180 1.5×	43	665

Countries citing papers authored by George D. Montoya

Since Specialization

Citations

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

Fields of papers citing papers by George D. Montoya

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of George D. Montoya

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

All Works

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17 of 17 papers shown

Wheeler, Cosette M., William C. Hunt, Jack Cuzick, et al.. (2012). A population‐based study of human papillomavirus genotype prevalence in the United States: Baseline measures prior to mass human papillomavirus vaccination. International Journal of Cancer. 132(1). 198–207. 138 indexed citations

Wu, Jin, George D. Montoya, Leonard Chávez, et al.. (2008). Allelic diversity within the high frequency Mamu‐A2*05/Mane‐A2*05 (Mane‐A*06)/Mafa‐A2*05 family of macaque MHC‐A loci. Tissue Antigens. 72(1). 29–38. 12 indexed citations

Montoya, George D., et al.. (2004). Estrogen Receptor � Dinucleotide (CA) Repeat Polymorphism is Significantly Associated with Bone Mineral Density in Postmenopausal Women. Calcified Tissue International. 74(6). 501–508. 49 indexed citations

Waters, Debra L., C. Lillian Yau, George D. Montoya, & Richard Baumgartner. (2003). Serum Sex Hormones, IGF-1, and IGFBP3 Exert a Sexually Dimorphic Effect on Lean Body Mass in Aging. The Journals of Gerontology Series A. 58(7). M648–M652. 42 indexed citations

Garry, Philip J., et al.. (2002). Diagnostic efficacy of serum cross-linked N-telopeptide (NTx) and aminoterminal procollagen extension propeptide (PINP) measurements for identifying elderly women with decreased bone mineral density. Scandinavian Journal of Clinical and Laboratory Investigation. 62(3). 237–243. 10 indexed citations

Wu, Jin, et al.. (2002). Identification and sequencing of HLA‐B*0714 and B*2718 alleles and novel exon 1 sequences of B*0709 and B*2714 alleles in potential bone marrow donors. Tissue Antigens. 59(5). 426–429. 6 indexed citations

Garry, Philip J., et al.. (2001). Critical differences in the serial measurement of three biochemical markers of bone turnover in the sera of pre- and postmenopausal women. Clinical Biochemistry. 34(8). 639–644. 21 indexed citations

Williams, Thomas, Jin Wu, George D. Montoya, et al.. (2000). Novel HLA‐B*15 alleles identified in potential marrow donors. Tissue Antigens. 55(5). 455–459. 3 indexed citations

Gourley, Ian, Jin Wu, George D. Montoya, et al.. (2000). A novel HLA‐B*40 allele and novel exon 1 sequences of two B*40 alleles identified in potential marrow donors. Tissue Antigens. 55(4). 374–377. 6 indexed citations

10.

Baumgartner, Richard, Robert R. Ross, Debra L. Waters, et al.. (1999). Serum Leptin in Elderly People: Associations with Sex Hormones, Insulin, and Adipose Tissue Volumes. Obesity Research. 7(2). 141–149. 58 indexed citations

11.

Baumgartner, R N, Debra L. Waters, John E. Morley, et al.. (1999). Age-related changes in sex hormones affect the sex difference in serum leptin independently of changes in body fat. Metabolism. 48(3). 378–384. 96 indexed citations

12.

Garry, Philip J., Richard Baumgartner, Steven G. Brodie, et al.. (1999). Estrogen Replacement Therapy, Serum Lipids, and Polymorphism of the Apolipoprotein E Gene. Clinical Chemistry. 45(8). 1214–1223. 29 indexed citations

13.

Garry, Philip J., et al.. (1997). Impact of HLA-H Mutations on Iron Stores in Healthy Elderly Men and Women. Blood Cells Molecules and Diseases. 23(2). 277–287. 24 indexed citations

14.

Williams, Tom, Cynthia Moehlenkamp, George D. Montoya, et al.. (1996). Strategy for distinguishina new DQB1 allele (DQB1 *[0611) from the closely related DQB1 *0602 allele via sequence specific PCR or direct DNA sequencing. Tissue Antigens. 48(3). 143–147. 16 indexed citations

15.

Williams, Thomas M., et al.. (1992). The TCF8 gene encoding a zinc finger protein (Nil-2-a) resides on human chromosome 10p11.2. Genomics. 14(1). 194–196. 22 indexed citations

16.

Yule, Terecita D., et al.. (1988). Autoantigenic germ cells exist outside the blood testis barrier.. The Journal of Immunology. 141(4). 1161–1167. 135 indexed citations

17.

Mahi‐Brown, Cherrie A., et al.. (1987). Adoptive Transfer of Murine Autoimmune Orchitis (EAO) to Untreated Recipientsa. Annals of the New York Academy of Sciences. 513(1). 526–528. 1 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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