Kelly Hu

1.1k total citations · 1 hit paper
9 papers, 814 citations indexed

About

Kelly Hu is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Epidemiology. According to data from OpenAlex, Kelly Hu has authored 9 papers receiving a total of 814 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 3 papers in Cellular and Molecular Neuroscience and 3 papers in Epidemiology. Recurrent topics in Kelly Hu's work include Receptor Mechanisms and Signaling (3 papers), Neuropeptides and Animal Physiology (3 papers) and Monoclonal and Polyclonal Antibodies Research (2 papers). Kelly Hu is often cited by papers focused on Receptor Mechanisms and Signaling (3 papers), Neuropeptides and Animal Physiology (3 papers) and Monoclonal and Polyclonal Antibodies Research (2 papers). Kelly Hu collaborates with scholars based in United States, Germany and Belgium. Kelly Hu's co-authors include Jürgen Wess, Jianxin Hu, Andrew C. Kruse, Peter Gmeiner, Brian K. Kobilka, Els Pardon, Harald Hübner, Céline Valant, Arthur Christopoulos and Christian C. Felder and has published in prestigious journals such as Nature, Journal of Biological Chemistry and SHILAP Revista de lepidopterología.

In The Last Decade

Kelly Hu

8 papers receiving 796 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.

Activation and allosteric modulation of a muscarinic acetylcholine receptor

2013 712 citations Andrew C. Kruse, Aaron M. Ring et al. Nature profile →

Peers

Countries citing papers authored by Kelly Hu

Since Specialization

Citations

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

Fields of papers citing papers by Kelly Hu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kelly Hu

This figure shows the co-authorship network connecting the top 25 collaborators of Kelly Hu. A scholar is included among the top collaborators of Kelly Hu 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 Kelly Hu. Kelly Hu 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

#	Work	Indexed citations
1	Portal Hypertensive Gastropathy and MELD‐Na Score Predict Recurrent Gastrointestinal Bleeding After TIPSS: An ALTA Group Study 2024 ·Alimentary Pharmacology & Therapeutics ·Kelly Hu, (unknown), Allison J. Kwong, Andrew Kesselman, K. Kolli, (unknown), (unknown), Adnan Said, Jennifer C. Lai, Archita P. Desai, Sonali Paul, Catherine Frenette, Michael B. Fallon, (unknown), Elizabeth C. Verna, Justin Boike, Dyanna L. Gregory, Bartley Thornburg, Lisa B. VanWagner, Aparna Goel, (unknown)	3
2	Gut microbiome–based therapeutics in inflammatory bowel disease 2023 ·SHILAP Revista de lepidopterología ·Kelly Hu, John Gubatan	13
3	Su1705 BIOLOGIC USE IN WOMEN WITH INFLAMMATORY BOWEL DISEASE AND RISK OF GYNECOLOGIC MALIGNANCIES: A PROPENSITY-MATCHED NATIONAL DATABASE COHORT ANALYSIS 2023 ·Gastroenterology ·Kelly Hu, Saurabh Gombar, Sidhartha R. Sinha, Kian Keyashian, Stephan Rogalla, John Gubatan	1
4	S2772 Subcutaneous Sweet Syndrome Successfully Treated With Ustekinumab in Patient With Ulcerative Colitis 2022 ·The American Journal of Gastroenterology ·Kelly Hu, Mike Wei, John Gubatan	0
5	Subcutaneous Sweet Syndrome Successfully Treated With Ustekinumab in a Patient With Ulcerative Colitis 2022 ·ACG Case Reports Journal ·Kelly Hu, Jeanne Shen, Kerri E. Rieger, Mike Wei, John Gubatan	4
6	Trends in Mortality From Human Immunodeficiency Virus Infection, 1984–2016: An Autopsy-Based Study 2019 ·Archives of Pathology & Laboratory Medicine ·Sobia Nizami, (unknown), Kelly Hu, Robert S. Holzman, Amy Rapkiewicz	7
7	Novel Structural and Functional Insights into M3 Muscarinic Receptor Dimer/Oligomer Formation 2013 ·Journal of Biological Chemistry ·Jianxin Hu, Kelly Hu, Tong Liu, (unknown), Rajendra Mistry, R. A. John Challiss, Stefano Costanzi, Jürgen Wess	25
8	Muscarinic Receptors as Model Targets and Antitargets for Structure-Based Ligand Discovery 2013 ·Molecular Pharmacology ·Andrew C. Kruse, Dahlia R. Weiss, Mario Rossi, Jianxin Hu, Kelly Hu, (unknown), Peter Gmeiner, Jürgen Wess, Brian K. Kobilka, Brian K. Shoichet	49
9	Activation and allosteric modulation of a muscarinic acetylcholine receptor breakdown → 2013 ·Nature ·Andrew C. Kruse, Aaron M. Ring, Aashish Manglik, Jianxin Hu, Kelly Hu, (unknown), Harald Hübner, Els Pardon, Céline Valant, Patrick M. Sexton, Arthur Christopoulos, Christian C. Felder, Peter Gmeiner, Jan Steyaert, William I. Weis, K. Christopher García, Jürgen Wess, Brian K. Kobilka	712

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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