Nicole Negron

2.5k total citations · 1 hit paper
6 papers, 755 citations indexed

About

Nicole Negron is a scholar working on Molecular Biology, Infectious Diseases and Epidemiology. According to data from OpenAlex, Nicole Negron has authored 6 papers receiving a total of 755 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 1 paper in Infectious Diseases and 1 paper in Epidemiology. Recurrent topics in Nicole Negron's work include vaccines and immunoinformatics approaches (1 paper), SARS-CoV-2 and COVID-19 Research (1 paper) and Hepatitis B Virus Studies (1 paper). Nicole Negron is often cited by papers focused on vaccines and immunoinformatics approaches (1 paper), SARS-CoV-2 and COVID-19 Research (1 paper) and Hepatitis B Virus Studies (1 paper). Nicole Negron collaborates with scholars based in United States. Nicole Negron's co-authors include Min Ni, Gurinder S. Atwal, Andrew Murphy, Christos A. Kyratsous, Stephanie Giordano, Kathryn Lanza, Benjamin O. Fulton, Richard Copin, Elzbieta Wloga and George D. Yancopoulos and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Nicole Negron

5 papers receiving 737 citations

Hit Papers

align trajectories sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Antibody cocktail to SARS-CoV-2 spike protein prevents rapid mutational escape seen with individual antibodies

2020 719 citations Alina Baum, Benjamin O. Fulton et al. Science profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Nicole Negron United States	3	650	216	124	100	55	6	755
Stephanie Giordano United States	3	650 1.0×	203 0.9×	126 1.0×	99 1.0×	63 1.1×	4	737
Elzbieta Wloga United States	3	650 1.0×	211 1.0×	124 1.0×	99 1.0×	59 1.1×	3	749
Prerna Arora Germany	10	879 1.4×	208 1.0×	88 0.7×	127 1.3×	67 1.2×	18	961
Bojan F. Hörnich Germany	5	606 0.9×	170 0.8×	55 0.4×	90 0.9×	45 0.8×	6	701
Claire Carlin United States	11	701 1.1×	210 1.0×	60 0.5×	130 1.3×	44 0.8×	14	743
Emanuele Andreano Italy	11	446 0.7×	202 0.9×	69 0.6×	66 0.7×	30 0.5×	24	611
Frances Ayres South Africa	5	660 1.0×	181 0.8×	74 0.6×	110 1.1×	48 0.9×	8	729
Takahiko Koyama United States	6	467 0.7×	172 0.8×	48 0.4×	80 0.8×	33 0.6×	14	583
Lasata Shrestha United States	8	602 0.9×	172 0.8×	50 0.4×	57 0.6×	54 1.0×	13	726
Deleah Pettie United States	5	562 0.9×	134 0.6×	51 0.4×	82 0.8×	43 0.8×	5	654

Countries citing papers authored by Nicole Negron

Since Specialization

Citations

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

Fields of papers citing papers by Nicole Negron

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nicole Negron. 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 Nicole Negron. The network helps show where Nicole Negron may publish in the future.

Co-authorship network of co-authors of Nicole Negron

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

All Works

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6 of 6 papers shown

1.

White, Ryan R., et al.. (2026). A Cellular and Transcriptomic Atlas of the Aged Mouse Hematopoietic System. Aging Cell. 25(2). e70394–e70394.

2.

Burova, Elena, Min Ni, Christina Adler, et al.. (2025). Single cell–resolved cellular, transcriptional, and epigenetic changes in mouse T cell populations linked to age-associated immune decline. Proceedings of the National Academy of Sciences. 122(14). e2425992122–e2425992122. 2 indexed citations

3.

Halász, Gábor, Jennifer Schmahl, Nicole Negron, et al.. (2025). Optimized murine sample sizes for RNA sequencing studies revealed from large scale comparative analysis. Nature Communications. 16(1). 10173–10173. 1 indexed citations

4.

Shavlakadze, Tea, Abhilash Gadi, Michael J. Stec, et al.. (2023). Age-related gene expression signatures from limb skeletal muscles and the diaphragm in mice and rats reveal common and species-specific changes. Skeletal Muscle. 13(1). 11–11. 26 indexed citations

5.

Srivastava, Mayank, Richard Copin, Anbo Zhou, et al.. (2022). Proteogenomic identification of Hepatitis B virus (HBV) genotype-specific HLA-I restricted peptides from HBV-positive patient liver tissues. Frontiers in Immunology. 13. 1032716–1032716. 7 indexed citations

6.

Baum, Alina, Benjamin O. Fulton, Elzbieta Wloga, et al.. (2020). Antibody cocktail to SARS-CoV-2 spike protein prevents rapid mutational escape seen with individual antibodies. Science. 369(6506). 1014–1018. 719 indexed citations breakdown →

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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