Olivia V. Goldman

588 total citations
9 papers, 325 citations indexed

About

Olivia V. Goldman is a scholar working on Cellular and Molecular Neuroscience, Genetics and Molecular Biology. According to data from OpenAlex, Olivia V. Goldman has authored 9 papers receiving a total of 325 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Cellular and Molecular Neuroscience, 3 papers in Genetics and 2 papers in Molecular Biology. Recurrent topics in Olivia V. Goldman's work include Neurobiology and Insect Physiology Research (3 papers), Insect and Arachnid Ecology and Behavior (3 papers) and Olfactory and Sensory Function Studies (2 papers). Olivia V. Goldman is often cited by papers focused on Neurobiology and Insect Physiology Research (3 papers), Insect and Arachnid Ecology and Behavior (3 papers) and Olfactory and Sensory Function Studies (2 papers). Olivia V. Goldman collaborates with scholars based in United States, Sweden and Israel. Olivia V. Goldman's co-authors include Leslie B. Vosshall, Emily Jane Dennis, Marlena M. Holter, Robert F. Margolskee, Joseph R. Vasselli, John I. Glendinning, Anthony Sclafani, Benjamin J. Matthews, Takeshi Morita and Tzu‐Chiao Lu and has published in prestigious journals such as Cell, Journal of Neuroscience and SHILAP Revista de lepidopterología.

In The Last Decade

Olivia V. Goldman

8 papers receiving 314 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Olivia V. Goldman United States	7	159	100	79	78	63	9	325
Willem J. Laursen United States	12	291 1.8×	87 0.9×	44 0.6×	93 1.2×	167 2.7×	15	556
Lisa J. Oyston Australia	6	78 0.5×	35 0.3×	63 0.8×	39 0.5×	30 0.5×	9	222
Habibe K. Üçpunar Germany	4	223 1.4×	105 1.1×	29 0.4×	108 1.4×	34 0.5×	5	277
Zachary A. Knecht United States	4	331 2.1×	133 1.3×	22 0.3×	166 2.1×	38 0.6×	4	393
Fernando Martín Spain	11	361 2.3×	146 1.5×	33 0.4×	116 1.5×	97 1.5×	20	486
Lisa Soyeon Baik United States	9	251 1.6×	63 0.6×	20 0.3×	50 0.6×	14 0.2×	11	350
Gonzalo Budelli United States	10	546 3.4×	208 2.1×	30 0.4×	243 3.1×	67 1.1×	11	684
Е. Г. Старостина United States	12	233 1.5×	67 0.7×	18 0.2×	180 2.3×	30 0.5×	44	497
Ricardo Leitão-Gonçalves United States	5	218 1.4×	215 2.1×	26 0.3×	84 1.1×	8 0.1×	5	600
Karen Brennan United States	5	226 1.4×	51 0.5×	17 0.2×	61 0.8×	81 1.3×	10	344

Countries citing papers authored by Olivia V. Goldman

Since Specialization

Citations

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

Fields of papers citing papers by Olivia V. Goldman

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Olivia V. Goldman. 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 Olivia V. Goldman. The network helps show where Olivia V. Goldman may publish in the future.

Co-authorship network of co-authors of Olivia V. Goldman

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

All Works

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9 of 9 papers shown

Morita, Takeshi, Olivia V. Goldman, Trevor R. Sorrells, et al.. (2025). Cross-modal sensory compensation increases mosquito attraction to humans. Science Advances. 11(1). eadn5758–eadn5758. 7 indexed citations

Adolphus, Katie, et al.. (2024). How Can We Encourage Primary School Children to Choose and Consume High-Fibre Breakfast Products?. SHILAP Revista de lepidopterología. 249–249.

Cadena, Melissa, et al.. (2023). Insights and strategies for improving equity in graduate school admissions. Cell. 186(17). 3529–3547. 6 indexed citations

Herre, Margaret, Olivia V. Goldman, Tzu‐Chiao Lu, et al.. (2022). Non-canonical odor coding in the mosquito. Cell. 185(17). 3104–3123.e28. 99 indexed citations

Huber, Thomas, et al.. (2021). Principles and practice for SARS-CoV-2 decontamination of N95 masks with UV-C. Biophysical Journal. 120(14). 2927–2942. 19 indexed citations

Dennis, Emily Jane, Olivia V. Goldman, & Leslie B. Vosshall. (2019). Aedes aegypti Mosquitoes Use Their Legs to Sense DEET on Contact. Current Biology. 29(9). 1551–1556.e5. 73 indexed citations

Bailey, Matthew R., Olivia V. Goldman, Muhammad O. Chohan, et al.. (2018). An Interaction between Serotonin Receptor Signaling and Dopamine Enhances Goal-Directed Vigor and Persistence in Mice. Journal of Neuroscience. 38(9). 2149–2162. 29 indexed citations

Lev‐Ari, Lilac, et al.. (2015). The Rubber Hand Illusion Paradigm as a Sensory Learning Process in Patients with Schizophrenia. European Psychiatry. 30(7). 868–873. 14 indexed citations

Glendinning, John I., Marlena M. Holter, Olivia V. Goldman, et al.. (2015). Sugar-induced cephalic-phase insulin release is mediated by a T1r2+T1r3-independent taste transduction pathway in mice. American Journal of Physiology-Regulatory, Integrative and Comparative Physiology. 309(5). R552–R560. 78 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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