Rita P. Loudermilk

1.7k total citations
7 papers, 152 citations indexed

About

Rita P. Loudermilk is a scholar working on Infectious Diseases, Neurology and Pathology and Forensic Medicine. According to data from OpenAlex, Rita P. Loudermilk has authored 7 papers receiving a total of 152 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Infectious Diseases, 3 papers in Neurology and 2 papers in Pathology and Forensic Medicine. Recurrent topics in Rita P. Loudermilk's work include SARS-CoV-2 and COVID-19 Research (3 papers), Peripheral Neuropathies and Disorders (3 papers) and Multiple Sclerosis Research Studies (2 papers). Rita P. Loudermilk is often cited by papers focused on SARS-CoV-2 and COVID-19 Research (3 papers), Peripheral Neuropathies and Disorders (3 papers) and Multiple Sclerosis Research Studies (2 papers). Rita P. Loudermilk collaborates with scholars based in United States, Switzerland and Germany. Rita P. Loudermilk's co-authors include Michael R. Wilson, James A. Wells, Jeff E. Glasgow, James R. Byrnes, Kevin Leung, Xin Zhou, Susanna K. Elledge, Irene Lui, Taia T. Wang and Shion A. Lim and has published in prestigious journals such as Brain, Journal of Cell Science and Multiple Sclerosis Journal.

In The Last Decade

Rita P. Loudermilk

6 papers receiving 151 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Rita P. Loudermilk United States 5 105 46 43 35 27 7 152
Qing‐Cui Zou China 7 99 0.9× 86 1.9× 5 0.1× 22 0.6× 42 1.6× 13 180
Fanny Chagnon Canada 5 88 0.8× 31 0.7× 7 0.2× 49 1.4× 36 1.3× 6 162
Matthew Greenig United Kingdom 6 43 0.4× 81 1.8× 11 0.3× 10 0.3× 29 1.1× 15 177
Amalia Tejeda Velarde Spain 6 63 0.6× 30 0.7× 29 0.7× 18 0.5× 95 3.5× 24 168
Daniel Jones United States 6 151 1.4× 42 0.9× 14 0.3× 5 0.1× 24 0.9× 7 177
Tatjana Bilich Germany 6 100 1.0× 58 1.3× 8 0.2× 28 0.8× 56 2.1× 10 153
Sathishkumar Ramaswamy United Arab Emirates 7 95 0.9× 36 0.8× 4 0.1× 19 0.5× 19 0.7× 14 151
Charleen Hunt United States 4 160 1.5× 46 1.0× 5 0.1× 28 0.8× 22 0.8× 6 227
Helena Winstone United Kingdom 5 131 1.2× 48 1.0× 3 0.1× 15 0.4× 63 2.3× 6 187
Juan Francisco Gutiérrez‐Bautista Spain 7 93 0.9× 27 0.6× 2 0.0× 32 0.9× 36 1.3× 17 143

Countries citing papers authored by Rita P. Loudermilk

Since Specialization
Citations

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

Fields of papers citing papers by Rita P. Loudermilk

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Rita P. Loudermilk. 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 Rita P. Loudermilk. The network helps show where Rita P. Loudermilk may publish in the future.

Co-authorship network of co-authors of Rita P. Loudermilk

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

All Works

7 of 7 papers shown
1.
Glasgow, Jeff E., Rita P. Loudermilk, Lisa L. Kirkemo, et al.. (2024). Chemoproteomics reveals immunogenic and tumor-associated cell surface substrates of ectokinase CK2α. Cell chemical biology. 31(9). 1729–1739.e9. 2 indexed citations
2.
Sabatino, Joseph J., William Rowles, Colin R. Zamecnik, et al.. (2022). Longitudinal adaptive immune responses following sequential SARS-CoV-2 vaccinations in MS patients on anti-CD20 therapies and sphingosine-1-phosphate receptor modulators. Multiple Sclerosis and Related Disorders. 70. 104484–104484. 12 indexed citations
3.
Sabatino, Joseph J., William Rowles, Jayant V. Rajan, et al.. (2022). Multiple sclerosis therapies differentially affect SARS-CoV-2 vaccine–induced antibody and T cell immunity and function. JCI Insight. 7(4). 52 indexed citations
4.
Bartley, Christopher M., Shelli Farhadian, Thomas Ngo, et al.. (2020). Evidence of an increased burden of humoral autoimmunity in the CSF and plasma of COVID-19 patients with comorbid neurologic dysfunction. Multiple Sclerosis Journal. 26. 47–47.
5.
Byrnes, James R., Xin Zhou, Irene Lui, et al.. (2020). Competitive SARS-CoV-2 Serology Reveals Most Antibodies Targeting the Spike Receptor-Binding Domain Compete for ACE2 Binding. mSphere. 5(5). 52 indexed citations
6.
Kim, Kicheol, Anne‐Katrin Pröbstel, Ryan Baumann, et al.. (2020). Cell type-specific transcriptomics identifies neddylation as a novel therapeutic target in multiple sclerosis. Brain. 144(2). 450–461. 20 indexed citations
7.
Hagen, Kari D., et al.. (2020). Disc-associated proteins mediate the unusual hyperstability of the ventral disc in Giardia lamblia. Journal of Cell Science. 133(16). 14 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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