Thomas M. Russell

779 total citations · 1 hit paper
15 papers, 531 citations indexed

About

Thomas M. Russell is a scholar working on Statistics and Probability, Epidemiology and Surgery. According to data from OpenAlex, Thomas M. Russell has authored 15 papers receiving a total of 531 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Statistics and Probability, 4 papers in Epidemiology and 2 papers in Surgery. Recurrent topics in Thomas M. Russell's work include Statistical Methods and Inference (4 papers), Advanced Causal Inference Techniques (3 papers) and Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (2 papers). Thomas M. Russell is often cited by papers focused on Statistical Methods and Inference (4 papers), Advanced Causal Inference Techniques (3 papers) and Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (2 papers). Thomas M. Russell collaborates with scholars based in United States, Canada and China. Thomas M. Russell's co-authors include Li‐Ru Zhao, Xuecheng Qiu, Lawrence S. Chin, Gentian Toshkezi, Michael Galgano, Erica L. Herzog, Aditi Mathur, Lynne A. Murray, Xueyan Peng and Carol Feghali‐Bostwick and has published in prestigious journals such as PLoS ONE, American Journal of Respiratory and Critical Care Medicine and Brain Research.

In The Last Decade

Thomas M. Russell

13 papers receiving 527 citations

Hit Papers

Traumatic Brain Injury 2017 2026 2020 2023 2017 100 200 300

Peers

Thomas M. Russell
Maria Daglas Australia
Thomas M. Russell
Citations per year, relative to Thomas M. Russell Thomas M. Russell (= 1×) peers Maria Daglas

Countries citing papers authored by Thomas M. Russell

Since Specialization
Citations

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

Fields of papers citing papers by Thomas M. Russell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Thomas M. Russell

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

All Works

15 of 15 papers shown
1.
Russell, Thomas M., et al.. (2026). Locus-specific transcriptional regulation of transposable elements by p53. Cell Cycle. 25(1). 1–17.
2.
Russell, Thomas M., et al.. (2024). A simple specification test for models with many conditional moment inequalities. Journal of Econometrics. 242(1). 105788–105788.
3.
Russell, Thomas M., et al.. (2023). Simple Inference on Functionals of Set-Identified Parameters Defined by Linear Moments. Journal of Business and Economic Statistics. 42(2). 563–578. 1 indexed citations
4.
Morris, Matthew, et al.. (2022). Computational prediction of intracellular targets of wild-type or mutant vesicular stomatitis matrix protein. PLoS ONE. 17(2). e0263065–e0263065. 2 indexed citations
5.
Gu, Jiaying & Thomas M. Russell. (2022). Partial identification in nonseparable binary response models with endogenous regressors. Journal of Econometrics. 235(2). 528–562. 6 indexed citations
6.
Gu, Jiaying, et al.. (2022). Counterfactual Identification and Latent Space Enumeration in Discrete Outcome Models. SSRN Electronic Journal. 2 indexed citations
8.
Russell, Thomas M., et al.. (2019). Near-Complete Genome Sequences of Vesicular Stomatitis Virus Indiana Laboratory Strains HR and T1026R1 and Plaque Isolates 22-20 and 22-25. Microbiology Resource Announcements. 8(14). 4 indexed citations
9.
Russell, Thomas M.. (2019). Sharp Bounds on Functionals of the Joint Distribution in the Analysis of Treatment Effects. Journal of Business and Economic Statistics. 39(2). 532–546. 7 indexed citations
10.
Singla, Amit, et al.. (2017). Cauda equina repair in the rat: Part 3. Axonal regeneration across Schwann cell—Seeded collagen foam. Muscle & Nerve. 57(1). E78–E84. 2 indexed citations
11.
Russell, Thomas M.. (2017). Sharp Bounds on Functionals of the Joint Distribution in the Analysis of Treatment Effects. SSRN Electronic Journal. 1 indexed citations
12.
Galgano, Michael, Gentian Toshkezi, Xuecheng Qiu, et al.. (2017). Traumatic Brain Injury. Cell Transplantation. 26(7). 1118–1130. 391 indexed citations breakdown →
13.
Singla, Amit, et al.. (2014). Innervation and function of rat tail muscles for modeling cauda equina injury and repair. Muscle & Nerve. 52(1). 94–102. 5 indexed citations
14.
Reilkoff, Ronald A., Hong Peng, Lynne A. Murray, et al.. (2012). Semaphorin 7a+ Regulatory T Cells Are Associated with Progressive Idiopathic Pulmonary Fibrosis and Are Implicated in Transforming Growth Factor-β1–induced Pulmonary Fibrosis. American Journal of Respiratory and Critical Care Medicine. 187(2). 180–188. 97 indexed citations
15.
Russell, Thomas M., Erica L. Herzog, & Richard Bucala. (2012). Flow Cytometric Identification of Fibrocytes in Scleroderma Lung Disease. Methods in molecular biology. 900. 327–346. 8 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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