Benjamin J. Ulrich

1.0k total citations
26 papers, 658 citations indexed

About

Benjamin J. Ulrich is a scholar working on Immunology, Physiology and Geometry and Topology. According to data from OpenAlex, Benjamin J. Ulrich has authored 26 papers receiving a total of 658 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Immunology, 6 papers in Physiology and 4 papers in Geometry and Topology. Recurrent topics in Benjamin J. Ulrich's work include Immune Cell Function and Interaction (9 papers), IL-33, ST2, and ILC Pathways (6 papers) and Asthma and respiratory diseases (6 papers). Benjamin J. Ulrich is often cited by papers focused on Immune Cell Function and Interaction (9 papers), IL-33, ST2, and ILC Pathways (6 papers) and Asthma and respiratory diseases (6 papers). Benjamin J. Ulrich collaborates with scholars based in United States, Brazil and United Kingdom. Benjamin J. Ulrich's co-authors include Chang H. Kim, Jürgen Herzog, Jee H. Lee, Jeongho Park, Mark H. Kaplan, Joseph P. Brennan, Jörgen Backelin, Yongyao Fu, Byunghee Koh and Joo‐Youn Cho and has published in prestigious journals such as Nature Communications, The Journal of Immunology and Journal of Allergy and Clinical Immunology.

In The Last Decade

Benjamin J. Ulrich

25 papers receiving 648 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Benjamin J. Ulrich United States 13 398 109 101 79 69 26 658
M. Seppälä Finland 11 156 0.4× 45 0.4× 5 0.0× 27 0.3× 74 1.1× 28 442
Yasuichiro Nishimura Japan 11 61 0.2× 7 0.1× 4 0.0× 18 0.2× 50 0.7× 23 313
Christina Bade‐Doeding Germany 19 514 1.3× 65 0.8× 126 1.8× 48 724
Lily Chan Canada 10 199 0.5× 2 0.0× 18 0.2× 261 3.8× 24 571
Chunfeng Yu Germany 9 328 0.8× 89 1.1× 89 1.3× 13 509
Mahzuz Karim United Kingdom 11 1.3k 3.4× 34 0.4× 149 2.2× 14 1.6k
Fayaz Ahmad Mir Qatar 15 154 0.4× 52 0.7× 245 3.6× 31 595
Karin Baier Austria 11 190 0.5× 32 0.4× 84 1.2× 12 478
Charles Allen United States 13 108 0.3× 12 0.2× 92 1.3× 20 360
Marilyn C. Olson United States 14 156 0.4× 34 0.4× 466 6.8× 24 1.1k

Countries citing papers authored by Benjamin J. Ulrich

Since Specialization
Citations

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

Fields of papers citing papers by Benjamin J. Ulrich

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Benjamin J. Ulrich. 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 Benjamin J. Ulrich. The network helps show where Benjamin J. Ulrich may publish in the future.

Co-authorship network of co-authors of Benjamin J. Ulrich

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

All Works

20 of 20 papers shown
1.
Ulrich, Benjamin J., et al.. (2024). Activin A Promotes Differentiation of a Pathogenic Multicytokine IL-9-secreting CD4+ T Cell Population. The Journal of Immunology. 213(6). 823–830. 1 indexed citations
2.
Ulrich, Benjamin J., Michelle Chu, Byunghee Koh, et al.. (2023). ERG Functionally Overlaps with Other Ets Proteins in Promoting TH9 Cell Expression of Il9 during Allergic Lung Inflammation. The Journal of Immunology. 210(5). 537–546. 6 indexed citations
3.
Fu, Yongyao, Michelle Chu, Jilu Zhang, et al.. (2023). Interleukin-9 promotes mast cell progenitor proliferation and CCR2-dependent mast cell migration in allergic airway inflammation. Mucosal Immunology. 16(4). 432–445. 21 indexed citations
4.
Ulrich, Benjamin J., Michelle Chu, Charanya Muralidharan, et al.. (2022). Allergic airway recall responses require IL-9 from resident memory CD4 + T cells. Science Immunology. 7(69). eabg9296–eabg9296. 39 indexed citations
5.
Fridell, Jonathan A., Molly Bozic, Benjamin J. Ulrich, Andrew J. Lutz, & John A. Powelson. (2021). Pancreas transplantation for cystic fibrosis: A frequently missed opportunity. Clinical Transplantation. 35(9). 4 indexed citations
6.
Ulrich, Benjamin J., et al.. (2021). Selectin Dependence of Allergic Skin Inflammation Is Diminished by Maternal Atopy. ImmunoHorizons. 5(8). 703–710. 2 indexed citations
8.
Fu, Yongyao, Jocelyn Wang, Benjamin J. Ulrich, et al.. (2020). STAT5 promotes accessibility and is required for BATF-mediated plasticity at the Il9 locus. Nature Communications. 11(1). 4882–4882. 32 indexed citations
9.
Koh, Byunghee, Benjamin J. Ulrich, Wenting Wu, et al.. (2020). Bcl6 and Blimp1 reciprocally regulate ST2+ Treg–cell development in the context of allergic airway inflammation. Journal of Allergy and Clinical Immunology. 146(5). 1121–1136.e9. 40 indexed citations
10.
Ulrich, Benjamin J., Amina Abdul Qayum, Byunghee Koh, et al.. (2020). Expression Efficiency of Multiple Il9 Reporter Alleles Is Determined by Cell Lineage. ImmunoHorizons. 4(5). 282–291. 3 indexed citations
11.
Koh, Byunghee, Amina Abdul Qayum, Rajneesh Srivastava, et al.. (2018). A conserved enhancer regulates Il9 expression in multiple lineages. RePEc: Research Papers in Economics.
12.
Koh, Byunghee, Amina Abdul Qayum, Rajneesh Srivastava, et al.. (2018). A conserved enhancer regulates Il9 expression in multiple lineages. Nature Communications. 9(1). 4803–4803. 26 indexed citations
13.
Olson, Matthew R., Benjamin J. Ulrich, Yesesri Cherukuri, et al.. (2017). Paracrine IL-2 Is Required for Optimal Type 2 Effector Cytokine Production. The Journal of Immunology. 198(11). 4352–4359. 12 indexed citations
14.
Thangamani, Shankar, Xinxin Huang, Hee Joo Kim, et al.. (2014). Cutting Edge: Progesterone Directly Upregulates Vitamin D Receptor Gene Expression for Efficient Regulation of T Cells by Calcitriol. The Journal of Immunology. 194(3). 883–886. 27 indexed citations
15.
Lee, Jee H., et al.. (2011). Progesterone Promotes Differentiation of Human Cord Blood Fetal T Cells into T Regulatory Cells but Suppresses Their Differentiation into Th17 Cells. The Journal of Immunology. 187(4). 1778–1787. 157 indexed citations
16.
Kang, Seung Goo, Joong Shin Park, Joo‐Youn Cho, Benjamin J. Ulrich, & Chang H. Kim. (2010). Complementary roles of retinoic acid and TGF-β1 in coordinated expression of mucosal integrins by T cells. Mucosal Immunology. 4(1). 66–82. 61 indexed citations
17.
Simis, Aron & Benjamin J. Ulrich. (2009). The Fitting ideal problem. Bulletin of the London Mathematical Society. 41(1). 79–88. 3 indexed citations
18.
Chang, Chia‐Lin, et al.. (2008). Developmental trajectory of dynamic resource utilization during walking: Toddlers with and without Down syndrome. Human Movement Science. 28(1). 141–154. 12 indexed citations
19.
Herzog, Jürgen, Benjamin J. Ulrich, & Jörgen Backelin. (1991). Linear maximal Cohen-Macaulay modules over strict complete intersections. Journal of Pure and Applied Algebra. 71(2-3). 187–202. 52 indexed citations
20.
Lombard, Yves, et al.. (1985). In vitro multiplication and apparently indefinite subcultures of normal mouse resident peritoneal macrophages. Biology of the Cell. 53(3). 219–230. 12 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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