Steven Witte

817 total citations
9 papers, 546 citations indexed

About

Steven Witte is a scholar working on Immunology, Molecular Biology and Cancer Research. According to data from OpenAlex, Steven Witte has authored 9 papers receiving a total of 546 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Immunology, 4 papers in Molecular Biology and 2 papers in Cancer Research. Recurrent topics in Steven Witte's work include Immune Cell Function and Interaction (4 papers), IL-33, ST2, and ILC Pathways (3 papers) and Immunodeficiency and Autoimmune Disorders (2 papers). Steven Witte is often cited by papers focused on Immune Cell Function and Interaction (4 papers), IL-33, ST2, and ILC Pathways (3 papers) and Immunodeficiency and Autoimmune Disorders (2 papers). Steven Witte collaborates with scholars based in United States, United Kingdom and Canada. Steven Witte's co-authors include Robin D. Hatton, Casey T. Weaver, Daniel DiToro, Stefan A. Muljo, Carlene L. Zindl, Min Gao, Stacey N. Harbour, Jeffrey R. Singer, Henrietta Turner and Golnaz Vahedi and has published in prestigious journals such as Science, Immunity and Trends in Immunology.

In The Last Decade

Steven Witte

9 papers receiving 544 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Steven Witte United States	9	317	157	94	51	42	9	546
Jinlin Miao China	14	218 0.7×	176 1.1×	89 0.9×	40 0.8×	36 0.9×	36	473
Georgia Zoumpoulidou United Kingdom	11	158 0.5×	290 1.8×	86 0.9×	40 0.8×	45 1.1×	15	504
Donggou He United States	6	508 1.6×	116 0.7×	216 2.3×	23 0.5×	43 1.0×	8	698
Sumihito Togi Japan	15	197 0.6×	305 1.9×	190 2.0×	51 1.0×	100 2.4×	52	593
Aurélie Tormo Canada	13	266 0.8×	88 0.6×	196 2.1×	27 0.5×	25 0.6×	18	451
Daniela DiFranco Italy	8	285 0.9×	173 1.1×	88 0.9×	41 0.8×	37 0.9×	10	497
Lihi Radomir Israel	10	267 0.8×	101 0.6×	102 1.1×	18 0.4×	26 0.6×	12	386
Craig Meagher Canada	13	370 1.2×	159 1.0×	113 1.2×	236 4.6×	48 1.1×	17	629
Marsha Pellegrino Italy	13	103 0.3×	212 1.4×	169 1.8×	75 1.5×	40 1.0×	19	409

Countries citing papers authored by Steven Witte

Since Specialization

Citations

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

Fields of papers citing papers by Steven Witte

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Steven Witte

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

1.

Zindl, Carlene L., Steven Witte, Vincent A. Laufer, et al.. (2022). A nonredundant role for T cell-derived interleukin 22 in antibacterial defense of colonic crypts. Immunity. 55(3). 494–511.e11. 25 indexed citations

2.

DiToro, Daniel, Stacey N. Harbour, Jennifer K. Bando, et al.. (2020). Insulin-Like Growth Factors Are Key Regulators of T Helper 17 Regulatory T Cell Balance in Autoimmunity. Immunity. 52(4). 650–667.e10. 118 indexed citations

3.

Harbour, Stacey N., Daniel DiToro, Steven Witte, et al.. (2020). T _H 17 cells require ongoing classic IL-6 receptor signaling to retain transcriptional and functional identity. Science Immunology. 5(49). 91 indexed citations

4.

Witte, Steven, et al.. (2018). Engaging a Community for Rare Genetic Disease: Best Practices and Education From Individual Crowdfunding Campaigns. Interactive Journal of Medical Research. 7(1). e3–e3. 12 indexed citations

5.

DiToro, Daniel, Colleen J. Winstead, Duy Pham, et al.. (2018). Differential IL-2 expression defines developmental fates of follicular versus nonfollicular helper T cells. Science. 361(6407). 165 indexed citations

6.

Witte, Steven, Allan Bradley, Anton J. Enright, & Stefan A. Muljo. (2015). High-density P300 enhancers control cell state transitions. BMC Genomics. 16(1). 903–903. 37 indexed citations

7.

Rossignol, Julien, Kyle D. Fink, Andrew Crane, et al.. (2015). Reductions in behavioral deficits and neuropathology in the R6/2 mouse model of Huntington’s disease following transplantation of bone-marrow-derived mesenchymal stem cells is dependent on passage number. Stem Cell Research & Therapy. 6(1). 9–9. 38 indexed citations

8.

Witte, Steven, John J. O’Shea, & Golnaz Vahedi. (2015). Super-enhancers: Asset management in immune cell genomes. Trends in Immunology. 36(9). 519–526. 34 indexed citations

9.

Witte, Steven & Stefan A. Muljo. (2014). Integrating non-coding RNAs in JAK-STAT regulatory networks. PubMed. 3(1). e28055–e28055. 26 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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