Thomas Hraha

647 total citations
9 papers, 420 citations indexed

About

Thomas Hraha is a scholar working on Molecular Biology, Infectious Diseases and Surgery. According to data from OpenAlex, Thomas Hraha has authored 9 papers receiving a total of 420 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 4 papers in Infectious Diseases and 4 papers in Surgery. Recurrent topics in Thomas Hraha's work include Tuberculosis Research and Epidemiology (4 papers), Pancreatic function and diabetes (4 papers) and Immunodeficiency and Autoimmune Disorders (3 papers). Thomas Hraha is often cited by papers focused on Tuberculosis Research and Epidemiology (4 papers), Pancreatic function and diabetes (4 papers) and Immunodeficiency and Autoimmune Disorders (3 papers). Thomas Hraha collaborates with scholars based in United States, Gambia and Germany. Thomas Hraha's co-authors include Richard K.P. Benninger, Nebojša Janjić, Urs A. Ochsner, Mary Ann De Groote, David G. Sterling, Kirsten Wall, Kristine Wolter‐Warmerdam, Kelly D. Sullivan, Keith P. Smith and Ahwan Pandey and has published in prestigious journals such as Diabetes, Scientific Reports and Biophysical Journal.

In The Last Decade

Thomas Hraha

9 papers receiving 416 citations

Peers

Thomas Hraha

MB

SURGE

ID

EPIDE

PHEOH

Yu-Wen Lin Taiwan

Anna Festa Italy

Yong Joon Kim South Korea

Vinuth N. Puttamallesh India

Robin McGoey United States

Makiko Yamada Japan

Alexandra Martin United States

Shervi Lie Australia

Yu Hong China

Sarah E. Ackerman United States

Yu-Wen Lin Taiwan

Thomas Hraha

364 ×2.2

MB

241 ×1.8

SURGE

160 ×1.2

ID

56 ×0.6

EPIDE

78 ×1.2

PHEOH

Citations per year, relative to Thomas Hraha Thomas Hraha (= 1×) peers Yu-Wen Lin

Countries citing papers authored by Thomas Hraha

Since Specialization

Citations

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

Fields of papers citing papers by Thomas Hraha

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Thomas Hraha

This figure shows the co-authorship network connecting the top 25 collaborators of Thomas Hraha. A scholar is included among the top collaborators of Thomas Hraha 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 Thomas Hraha. Thomas Hraha 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:

9 of 9 papers shown

1.

Penn‐Nicholson, Adam, Thomas Hraha, Ethan Thompson, et al.. (2019). Discovery and validation of a prognostic proteomic signature for tuberculosis progression: A prospective cohort study. PLoS Medicine. 16(4). e1002781–e1002781. 68 indexed citations

2.

Groote, Mary Ann De, David G. Sterling, Thomas Hraha, et al.. (2017). Discovery and Validation of a Six-Marker Serum Protein Signature for the Diagnosis of Active Pulmonary Tuberculosis. Journal of Clinical Microbiology. 55(10). 3057–3071. 65 indexed citations

3.

Sullivan, Kelly D., Donald L. Evans, Ahwan Pandey, et al.. (2017). Trisomy 21 causes changes in the circulating proteome indicative of chronic autoinflammation. Scientific Reports. 7(1). 14818–14818. 126 indexed citations

4.

Green, Louis S., Taylor Rice, Nicole A. Kruh‐Garcia, et al.. (2017). Potential of High-Affinity, Slow Off-Rate Modified Aptamer Reagents for Mycobacterium tuberculosis Proteins as Tools for Infection Models and Diagnostic Applications. Journal of Clinical Microbiology. 55(10). 3072–3088. 27 indexed citations

5.

Notary, Aleena, et al.. (2016). Decreases in Gap Junction Coupling Recovers Ca2+ and Insulin Secretion in Neonatal Diabetes Mellitus, Dependent on Beta Cell Heterogeneity and Noise. PLoS Computational Biology. 12(9). e1005116–e1005116. 14 indexed citations

6.

Groote, Mary Ann De, Michael Higgins, Thomas Hraha, et al.. (2016). Highly Multiplexed Proteomic Analysis of Quantiferon Supernatants To Identify Biomarkers of Latent Tuberculosis Infection. Journal of Clinical Microbiology. 55(2). 391–402. 33 indexed citations

7.

Hraha, Thomas, et al.. (2014). Dimensionality and Size Scaling of Coordinated Ca2+ Dynamics in MIN6 β-cell Clusters. Biophysical Journal. 106(1). 299–309. 27 indexed citations

8.

Hraha, Thomas, et al.. (2014). Phase Transitions in the Multi-cellular Regulatory Behavior of Pancreatic Islet Excitability. PLoS Computational Biology. 10(9). e1003819–e1003819. 41 indexed citations

9.

Nguyen, Linda M.‐D., et al.. (2014). Decreasing Cx36 Gap Junction Coupling Compensates for Overactive KATP Channels to Restore Insulin Secretion and Prevent Hyperglycemia in a Mouse Model of Neonatal Diabetes. Diabetes. 63(5). 1685–1697. 19 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.

Explore authors with similar magnitude of impact