Nathaniel D. Collins

1.3k total citations
17 papers, 617 citations indexed

About

Nathaniel D. Collins is a scholar working on Immunology, Agronomy and Crop Science and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Nathaniel D. Collins has authored 17 papers receiving a total of 617 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Immunology, 10 papers in Agronomy and Crop Science and 8 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Nathaniel D. Collins's work include T-cell and Retrovirus Studies (9 papers), Animal Disease Management and Epidemiology (9 papers) and Vector-Borne Animal Diseases (8 papers). Nathaniel D. Collins is often cited by papers focused on T-cell and Retrovirus Studies (9 papers), Animal Disease Management and Epidemiology (9 papers) and Vector-Borne Animal Diseases (8 papers). Nathaniel D. Collins collaborates with scholars based in United States, Switzerland and India. Nathaniel D. Collins's co-authors include Michael D. Lairmore, Lee Ratner, Björn Albrecht, Garret C. Newbound, Patrick L. Green, Michael D. Robek, Joshua T. Bartoe, David G. Belair, Kyle L. Kolaja and Federico Goodsaid and has published in prestigious journals such as Blood, Journal of Virology and Scientific Reports.

In The Last Decade

Nathaniel D. Collins

17 papers receiving 596 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nathaniel D. Collins United States 12 491 402 384 98 33 17 617
Michael Mirsky United States 10 254 0.5× 190 0.5× 146 0.4× 90 0.9× 8 0.2× 19 517
M Sato Japan 7 187 0.4× 161 0.4× 154 0.4× 54 0.6× 7 0.2× 15 304
Yi Ru China 14 59 0.1× 204 0.5× 164 0.4× 140 1.4× 84 2.5× 30 463
Shan Yin China 10 102 0.2× 92 0.2× 65 0.2× 74 0.8× 18 0.5× 19 255
Masami Hirota Japan 6 113 0.2× 74 0.2× 62 0.2× 93 0.9× 25 0.8× 8 357
Xiaoying Wang China 12 87 0.2× 18 0.0× 9 0.0× 147 1.5× 16 0.5× 30 340
H. J. Howard United States 14 106 0.2× 329 0.8× 4 0.0× 88 0.9× 13 0.4× 22 611
N. Chêne France 9 166 0.3× 223 0.6× 4 0.0× 158 1.6× 4 0.1× 17 492
Zhenqiong Guan China 8 143 0.3× 6 0.0× 20 0.1× 225 2.3× 14 0.4× 11 491
Leandro Silva da Costa Brazil 8 106 0.2× 12 0.0× 7 0.0× 152 1.6× 13 0.4× 10 406

Countries citing papers authored by Nathaniel D. Collins

Since Specialization
Citations

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

Fields of papers citing papers by Nathaniel D. Collins

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nathaniel D. Collins

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

All Works

17 of 17 papers shown
1.
Belair, David G., et al.. (2021). Investigation Into the Role of ERK in Tyrosine Kinase Inhibitor-Induced Neuropathy. Toxicological Sciences. 181(2). 160–174. 10 indexed citations
2.
Belair, David G., et al.. (2020). Thalidomide Inhibits Human iPSC Mesendoderm Differentiation by Modulating CRBN-dependent Degradation of SALL4. Scientific Reports. 10(1). 2864–2864. 23 indexed citations
3.
Chen, Feifei, et al.. (2010). Toxicoepigenetic Alteration of the Kidney Injury Molecule 1 Gene in Gentamicin-Exposed Rat Kidney. Toxicological Sciences. 117(2). 375–380. 14 indexed citations
4.
Poulet, Frederique M., Nathaniel D. Collins, Ellen W. Evans, et al.. (2010). Drug-induced Hemolytic Anemia and Thrombocytopenia Associated with Alterations of Cell Membrane Lipids and Acanthocyte Formation. Toxicologic Pathology. 38(6). 907–922. 16 indexed citations
5.
Enright, Brian, David M. Compton, Nathaniel D. Collins, Thomas P. Davis, & Barry Mcintyre. (2009). Comparative effects of interferon alpha‐2b and pegylated interferon alpha‐2b on menstrual cycles and ovarian hormones in cynomolgus monkeys. Birth Defects Research Part B Developmental and Reproductive Toxicology. 86(1). 29–39. 3 indexed citations
6.
Davis, John W., Federico Goodsaid, Christopher M. Bral, et al.. (2004). Quantitative gene expression analysis in a nonhuman primate model of antibiotic-induced nephrotoxicity. Toxicology and Applied Pharmacology. 200(1). 16–26. 44 indexed citations
7.
Morrissey, Richard E., Christopher Horvath, James E. Patrick, et al.. (2002). Porcine Toxicology Studies of SCH 58500, an Adenoviral Vector for the p53 Gene. Toxicological Sciences. 65(2). 256–265. 18 indexed citations
8.
9.
Bartoe, Joshua T., Björn Albrecht, Nathaniel D. Collins, et al.. (2000). Functional Role of pX Open Reading Frame II of Human T-Lymphotropic Virus Type 1 in Maintenance of Viral Loads In Vivo. Journal of Virology. 74(3). 1094–1100. 110 indexed citations
10.
Albrecht, Björn, et al.. (2000). Human T-Lymphotropic Virus Type 1 Open Reading Frame I p12IIs Required for Efficient Viral Infectivity in Primary Lymphocytes. Journal of Virology. 74(21). 9828–9835. 78 indexed citations
11.
12.
Newbound, Garret C., John P. O’Rourke, Nathaniel D. Collins, James W. DeWille, & Michael D. Lairmore. (1999). Comparison of HTLV-I Basal Transcription and Expression of CREB/ATF-1/CREM Family Members in Peripheral Blood Mononuclear Cells and Jurkat T Cells. Journal of Acquired Immune Deficiency Syndromes & Human Retrovirology. 20(1). 1–10. 7 indexed citations
13.
Collins, Nathaniel D., Celine D’Souza, Björn Albrecht, et al.. (1999). Proliferation Response to Interleukin-2 and Jak/Stat Activation of T Cells Immortalized by Human T-Cell Lymphotropic Virus Type 1 Is Independent of Open Reading Frame I Expression. Journal of Virology. 73(11). 9642–9649. 35 indexed citations
14.
Albrecht, Björn, Nathaniel D. Collins, Garret C. Newbound, Lee Ratner, & Michael D. Lairmore. (1998). Quantification of human T-cell lymphotropic virus type 1 proviral load by quantitative competitive polymerase chain reaction. Journal of Virological Methods. 75(2). 123–140. 29 indexed citations
15.
Collins, Nathaniel D., Bruce E. LeRoy, & Linda M. Vap. (1998). Artifactually Increased Serum Bicarbonate Values in Two Horses and a Calf with Severe Rhabdomyolysis. Veterinary Clinical Pathology. 27(3). 85–90. 4 indexed citations
16.
Collins, Nathaniel D., et al.. (1998). Selective Ablation of Human T-Cell Lymphotropic Virus Type 1 p12I Reduces Viral Infectivity In Vivo. Blood. 91(12). 4701–4707. 68 indexed citations
17.
Collins, Nathaniel D., et al.. (1998). Selective Ablation of Human T-Cell Lymphotropic Virus Type 1 p12I Reduces Viral Infectivity In Vivo. Blood. 91(12). 4701–4707. 143 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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