Ursula Green

650 total citations · 1 hit paper
7 papers, 135 citations indexed

About

Ursula Green is a scholar working on Health Informatics, Public Health, Environmental and Occupational Health and Sensory Systems. According to data from OpenAlex, Ursula Green has authored 7 papers receiving a total of 135 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Health Informatics, 2 papers in Public Health, Environmental and Occupational Health and 2 papers in Sensory Systems. Recurrent topics in Ursula Green's work include Higher Education Practises and Engagement (2 papers), Artificial Intelligence in Healthcare and Education (2 papers) and Olfactory and Sensory Function Studies (2 papers). Ursula Green is often cited by papers focused on Higher Education Practises and Engagement (2 papers), Artificial Intelligence in Healthcare and Education (2 papers) and Olfactory and Sensory Function Studies (2 papers). Ursula Green collaborates with scholars based in United States, United Kingdom and Sweden. Ursula Green's co-authors include Jochen K. Lennerz, Jia Li, James R. Stone, Lite Yang, Dan Levy, William Renthal, Mengyi Xu, Jun Zhao, Randall J. Cohrs and Shamsuddin A. Bhuiyan and has published in prestigious journals such as Neuron, International Journal of Molecular Sciences and Modern Pathology.

In The Last Decade

Ursula Green

6 papers receiving 132 citations

Hit Papers

align trajectories

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.

Human and mouse trigeminal ganglia cell atlas implicates multiple cell types in migraine

2022 97 citations Lite Yang, Mengyi Xu et al. Neuron profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ursula Green United States	5	32	30	25	22	21	7	135
Ζeynep Kaya Türkiye	5	19 0.6×	53 1.8×	25 1.0×	18 0.8×	26 1.2×	8	137
Shamsuddin A. Bhuiyan United States	4	45 1.4×	33 1.1×	61 2.4×	31 1.4×	22 1.0×	4	158
Padhraig Gormley United States	8	14 0.4×	81 2.7×	49 2.0×	23 1.0×	23 1.1×	11	176
Kari M. Ersland Norway	9	52 1.6×	48 1.6×	79 3.2×	27 1.2×	16 0.8×	11	221
Lisa Cook Canada	9	45 1.4×	32 1.1×	29 1.2×	57 2.6×	10 0.5×	18	172
Johannes Knabbe Germany	6	24 0.8×	11 0.4×	36 1.4×	41 1.9×	5 0.2×	11	131
Karri Kaivola Finland	10	90 2.8×	42 1.4×	58 2.3×	35 1.6×	17 0.8×	16	261
Leila Sellami Canada	9	74 2.3×	83 2.8×	51 2.0×	36 1.6×	3 0.1×	21	211
Andrea Marcinnò Italy	7	30 0.9×	33 1.1×	45 1.8×	18 0.8×	13 0.6×	18	184
Aisha Dahir United Kingdom	4	32 1.0×	19 0.6×	114 4.6×	6 0.3×	9 0.4×	5	237

Countries citing papers authored by Ursula Green

Since Specialization

Citations

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

Fields of papers citing papers by Ursula Green

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ursula Green

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

All Works

Sort: Min cites: Since: Top N: Style:

7 of 7 papers shown

1.

García, Víctor, Amy Ly, Evangelos Hytopoulos, et al.. (2024). Reproducible Reporting of the Collection and Evaluation of Annotations for Artificial Intelligence Models. Modern Pathology. 37(4). 100439–100439. 6 indexed citations

2.

Li, Annie, et al.. (2023). Exploring the Skin Brain Link: Biomarkers in the Skin with Implications for Aging Research and Alzheimer’s Disease Diagnostics. International Journal of Molecular Sciences. 24(17). 13309–13309. 5 indexed citations

3.

Lennerz, Jochen K., Ursula Green, Drew F. K. Williamson, & Faisal Mahmood. (2022). A unifying force for the realization of medical AI. npj Digital Medicine. 5(1). 172–172. 12 indexed citations

4.

Yang, Lite, Mengyi Xu, Shamsuddin A. Bhuiyan, et al.. (2022). Human and mouse trigeminal ganglia cell atlas implicates multiple cell types in migraine. Neuron. 110(11). 1806–1821.e8. 97 indexed citations breakdown →

5.

Green, Ursula, et al.. (2022). 75. Clinical implementation of a precision medicine consultation service. Cancer Genetics. 268-269. 24–25.

6.

Green, Ursula, et al.. (2016). Pioneering a Peer Review Initiative: Students as Colleagues in the Review of Teaching Practices. Scholarship, Research, and Creative Work at Bryn Mawr College (Bryn Mawr College). 1(19). 5. 2 indexed citations

7.

Huxham, Mark, et al.. (2016). ‘Observation has set in’: comparing students and peers as reviewers of teaching. Assessment & Evaluation in Higher Education. 42(6). 887–899. 13 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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