Kaitlin M. Smith

2.4k total citations
8 papers, 270 citations indexed

About

Kaitlin M. Smith is a scholar working on Epidemiology, Virology and Surgery. According to data from OpenAlex, Kaitlin M. Smith has authored 8 papers receiving a total of 270 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Epidemiology, 3 papers in Virology and 2 papers in Surgery. Recurrent topics in Kaitlin M. Smith's work include Herpesvirus Infections and Treatments (3 papers), HIV Research and Treatment (3 papers) and Radiomics and Machine Learning in Medical Imaging (1 paper). Kaitlin M. Smith is often cited by papers focused on Herpesvirus Infections and Treatments (3 papers), HIV Research and Treatment (3 papers) and Radiomics and Machine Learning in Medical Imaging (1 paper). Kaitlin M. Smith collaborates with scholars based in United States, Netherlands and South Korea. Kaitlin M. Smith's co-authors include Elizabeth A. Reap, Pamela K. Norberg, J. Glenn Morris, Robert A. Olmsted, Jeffrey D. Chulay, David I. Bernstein, Maureen F. Maughan, Dan H. Barouch, Mark G. Lewis and Adam J. SanMiguel and has published in prestigious journals such as Nature Biotechnology, Cancer Cell and Journal of Virology.

In The Last Decade

Kaitlin M. Smith

8 papers receiving 254 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Kaitlin M. Smith United States	6	112	112	84	79	77	8	270
Jori Symons Australia	10	141 1.3×	102 0.9×	150 1.8×	98 1.2×	77 1.0×	14	296
Stephanie Ascough United Kingdom	11	110 1.0×	120 1.1×	38 0.5×	88 1.1×	114 1.5×	18	309
Fengmin Zhou United States	9	92 0.8×	118 1.1×	162 1.9×	192 2.4×	85 1.1×	15	354
Hongshuo Song United States	8	121 1.1×	53 0.5×	111 1.3×	47 0.6×	45 0.6×	18	222
John D. Ventura United States	9	127 1.1×	51 0.5×	150 1.8×	98 1.2×	52 0.7×	11	252
Mayumi Imahashi Japan	9	204 1.8×	103 0.9×	184 2.2×	83 1.1×	169 2.2×	26	401
Diana Edo-Matas Netherlands	11	160 1.4×	56 0.5×	189 2.3×	74 0.9×	90 1.2×	15	307
Scott Coley United States	7	158 1.4×	98 0.9×	131 1.6×	158 2.0×	111 1.4×	9	379
Senthil Chinnakannan United Kingdom	10	82 0.7×	176 1.6×	34 0.4×	86 1.1×	53 0.7×	17	273
Christine A. Bricault United States	10	88 0.8×	53 0.5×	92 1.1×	66 0.8×	62 0.8×	15	217

Countries citing papers authored by Kaitlin M. Smith

Since Specialization

Citations

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

Fields of papers citing papers by Kaitlin M. Smith

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kaitlin M. Smith

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

All Works

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8 of 8 papers shown

Arango-Argoty, Gustavo, Damián E. Bikiel, Gerald J. Sun, et al.. (2025). AI-driven predictive biomarker discovery with contrastive learning to improve clinical trial outcomes. Cancer Cell. 43(5). 875–890.e8. 9 indexed citations

Moldt, Brian, Khoa Le, Diane G. Carnathan, et al.. (2016). Neutralizing antibody affords comparable protection against vaginal and rectal simian/human immunodeficiency virus challenge in macaques. AIDS. 30(10). 1543–1551. 42 indexed citations

Balandya, Emmanuel, Andrew D. Miller, Jinyan Liu, et al.. (2014). Adenovirus Serotype 26 and 35 Vectors Induce Simian Immunodeficiency Virus-Specific T Lymphocyte Responses in Foreskin in Rhesus Monkeys. Journal of Virology. 88(7). 3756–3765. 4 indexed citations

DeMuth, Peter C., Peter Abbink, Jinyan Liu, et al.. (2013). Vaccine delivery with microneedle skin patches in nonhuman primates. Nature Biotechnology. 31(12). 1082–1085. 5 indexed citations

Stephenson, Kathryn E., Adam J. SanMiguel, Nathaniel L. Simmons, et al.. (2012). Full-Length HIV-1 Immunogens Induce Greater Magnitude and Comparable Breadth of T Lymphocyte Responses to Conserved HIV-1 Regions Compared with Conserved-Region-Only HIV-1 Immunogens in Rhesus Monkeys. Journal of Virology. 86(21). 11434–11440. 43 indexed citations

Bernstein, David I., Elizabeth A. Reap, Kaitlin M. Smith, et al.. (2009). Randomized, double-blind, Phase 1 trial of an alphavirus replicon vaccine for cytomegalovirus in CMV seronegative adult volunteers. Vaccine. 28(2). 484–493. 156 indexed citations

Folgori, Antonella, Eleanor Barnes, Stephen Aston, et al.. (2009). 1051 PHASE I TRIAL OF A HIGHLY IMMUNOGENIC T CELL VACCINE FOR HEPATITIS C VIRUS BASED ON NOVEL ADENOVIRAL VECTORS FROM RARE SEROTYPES. Journal of Hepatology. 50. S382–S382. 5 indexed citations

Chien, Sufan, et al.. (1988). New autoperfusion preparation for long-term organ preservation.. PubMed. 78(5 Pt 2). III58–65. 6 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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