Michael D. Grant

7.8k total citations · 2 hit papers
148 papers, 5.2k citations indexed

About

Michael D. Grant is a scholar working on Immunology, Virology and Epidemiology. According to data from OpenAlex, Michael D. Grant has authored 148 papers receiving a total of 5.2k indexed citations (citations by other indexed papers that have themselves been cited), including 60 papers in Immunology, 46 papers in Virology and 23 papers in Epidemiology. Recurrent topics in Michael D. Grant's work include Immune Cell Function and Interaction (50 papers), HIV Research and Treatment (46 papers) and T-cell and B-cell Immunology (24 papers). Michael D. Grant is often cited by papers focused on Immune Cell Function and Interaction (50 papers), HIV Research and Treatment (46 papers) and T-cell and B-cell Immunology (24 papers). Michael D. Grant collaborates with scholars based in United States, Canada and South Africa. Michael D. Grant's co-authors include Michael J. Lyons, Carol E. Franz, William S. Kremen, Matthew S. Panizzon, Kristen C. Jacobson, Hong Xian, Ming T. Tsuang, Michael C. Neale, Lisa T. Eyler and Bruce Fischl and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Neuron.

In The Last Decade

Michael D. Grant

144 papers receiving 5.1k citations

Hit Papers

Distinct Genetic Influences on Cortical Surface Area and ... 2009 2026 2014 2020 2009 2009 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael D. Grant United States 36 1.4k 825 720 711 695 148 5.2k
Ian Everall United Kingdom 57 1.7k 1.2× 544 0.7× 652 0.9× 2.8k 3.9× 1.3k 1.9× 217 10.4k
Ravindranath Duggirala United States 36 802 0.6× 414 0.5× 201 0.3× 1.2k 1.8× 295 0.4× 116 4.4k
Stephan Ripke United States 36 1.3k 0.9× 331 0.4× 421 0.6× 2.4k 3.3× 1.1k 1.5× 100 8.8k
Russell C. Dale Australia 62 802 0.6× 258 0.3× 1.3k 1.7× 1.8k 2.6× 1.7k 2.4× 303 13.7k
Floyd H. Gilles United States 43 1.1k 0.8× 1.4k 1.7× 518 0.7× 1.5k 2.1× 459 0.7× 163 7.9k
Simon R. Cox United Kingdom 38 1.8k 1.3× 1.3k 1.5× 76 0.1× 974 1.4× 977 1.4× 173 5.6k
Chiara Maria Mazzanti Italy 38 1.2k 0.9× 206 0.2× 349 0.5× 2.1k 3.0× 1.3k 1.9× 159 6.9k
Sarah E. Harris United Kingdom 45 943 0.7× 366 0.4× 190 0.3× 2.1k 3.0× 872 1.3× 141 6.8k
Derek W. Morris Ireland 42 1.0k 0.7× 328 0.4× 173 0.2× 2.2k 3.0× 895 1.3× 184 5.6k
Thomas Folkmann Hansen Denmark 36 152 0.1× 274 0.3× 443 0.6× 1.2k 1.7× 794 1.1× 169 5.2k

Countries citing papers authored by Michael D. Grant

Since Specialization
Citations

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

Fields of papers citing papers by Michael D. Grant

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael D. Grant

This figure shows the co-authorship network connecting the top 25 collaborators of Michael D. Grant. A scholar is included among the top collaborators of Michael D. Grant 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 Michael D. Grant. Michael D. Grant 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
2.
Grant, Michael D., Kirsten Bentley, Ceri A. Fielding, et al.. (2023). Combined anti-S1 and anti-S2 antibodies from hybrid immunity elicit potent cross-variant ADCC against SARS-CoV-2. JCI Insight. 8(15). 9 indexed citations
3.
Holder, Kayla A., et al.. (2023). Cellular Immune Responses to SARS-CoV-2 in Exposed Seronegative Individuals. Viruses. 15(4). 996–996. 4 indexed citations
4.
Holder, Kayla A., et al.. (2023). Characteristics of Vaccine- and Infection-Induced Systemic IgA Anti-SARS-CoV-2 Spike Responses. Vaccines. 11(9). 1462–1462. 3 indexed citations
5.
Holder, Kayla A., et al.. (2022). Moderate to severe SARS-CoV-2 infection primes vaccine-induced immunity more effectively than asymptomatic or mild infection. npj Vaccines. 7(1). 122–122. 13 indexed citations
6.
Holder, Kayla A., et al.. (2021). TIGIT blockade enhances NK cell activity against autologous HIV‐1‐infected CD4+ T cells. Clinical & Translational Immunology. 10(10). e1348–e1348. 19 indexed citations
7.
Holder, Kayla A., et al.. (2019). Cytomegalovirus-Driven Adaption of Natural Killer Cells in NKG2Cnull Human Immunodeficiency Virus-Infected Individuals. Viruses. 11(3). 239–239. 9 indexed citations
8.
Gallant, Maureen, et al.. (2015). Heteroclitic Peptides Increase Proliferation and Reduce Evidence of Human Immunodeficiency Virus-Specific CD8 + T Cell Dysfunction. Viral Immunology. 28(8). 455–463. 5 indexed citations
9.
Rana, Brinda K., Matthew S. Panizzon, Kelly M. Spoon, et al.. (2014). Imputing Observed Blood Pressure for Antihypertensive Treatment: Impact on Population and Genetic Analyses. American Journal of Hypertension. 27(6). 828–837. 7 indexed citations
10.
Parsons, Matthew S., Jean‐Pierre Routy, Danielle Rouleau, et al.. (2013). Antibody Responses to Human Immunodeficiency Virus Envelope from Infections with Multiple Subtypes Utilize the 1F7-Idiotypic Repertoire. AIDS Research and Human Retroviruses. 29(5). 1 indexed citations
11.
Lyons, Michael J., Margo Genderson, Michael D. Grant, et al.. (2013). Gene‐environment interaction of ApoE genotype and combat exposure on PTSD. American Journal of Medical Genetics Part B Neuropsychiatric Genetics. 162(7). 762–769. 39 indexed citations
12.
Chen, Chi‐Hua, Wes Thompson, Matthew S. Panizzon, et al.. (2012). Hierarchical Genetic Organization of Human Cortical Surface Area. Science. 335(6076). 1634–1636. 195 indexed citations
13.
14.
Bu, Dawei, Venetia Sarode, Raheela Ashfaq, et al.. (2011). Tamoxifen Downregulates Ets Oncogene Family Members ETV4 and ETV5 in Benign Breast Tissue: Implications for Durable Risk Reduction. Cancer Prevention Research. 4(11). 1852–1862. 13 indexed citations
15.
Chen, Chi‐Hua, Matthew S. Panizzon, Lisa T. Eyler, et al.. (2011). Genetic Influences on Cortical Regionalization in the Human Brain. Neuron. 72(4). 537–544. 82 indexed citations
16.
Kremen, William S., Matthew S. Panizzon, Michael C. Neale, et al.. (2010). Heritability of brain ventricle volume: Converging evidence from inconsistent results. Neurobiology of Aging. 33(1). 1–8. 35 indexed citations
17.
Kremen, William S., Heather Thompson‐Brenner, Michael D. Grant, et al.. (2006). Genes, Environment, and Time: The Vietnam Era Twin Study of Aging (VETSA). Twin Research and Human Genetics. 9(6). 1009–1022. 97 indexed citations
18.
Mason, Rosemarie D., et al.. (2004). Antiretroviral Drug Resistance Mutations Sustain or Enhance CTL Recognition of Common HIV-1 Pol Epitopes. The Journal of Immunology. 172(11). 7212–7219. 37 indexed citations
19.
Bowmer, M Ian, et al.. (2001). HIV-1 DNA Burden in Peripheral Blood CD4 + Cells Influences Disease Progression, Antiretroviral Efficacy, and CD4 + T-Cell Restoration. Viral Immunology. 14(4). 379–389. 11 indexed citations
20.
Grant, Michael D., Fiona Smaill, Karen Laurie, & Kenneth L. Rosenthal. (1993). Changes in the Cytotoxic T-Cell Repertoire of HIV-1-Infected Individuals: Relationship to Disease Progression. Viral Immunology. 6(1). 85–95. 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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