Natalie A. Bowerman

1.3k total citations
16 papers, 1.0k citations indexed

About

Natalie A. Bowerman is a scholar working on Immunology, Oncology and Rheumatology. According to data from OpenAlex, Natalie A. Bowerman has authored 16 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Immunology, 10 papers in Oncology and 4 papers in Rheumatology. Recurrent topics in Natalie A. Bowerman's work include CAR-T cell therapy research (7 papers), T-cell and B-cell Immunology (6 papers) and Immune Cell Function and Interaction (6 papers). Natalie A. Bowerman is often cited by papers focused on CAR-T cell therapy research (7 papers), T-cell and B-cell Immunology (6 papers) and Immune Cell Function and Interaction (6 papers). Natalie A. Bowerman collaborates with scholars based in United States and Italy. Natalie A. Bowerman's co-authors include David M. Kranz, K. Christopher García, Hans Schreiber, Leremy A. Colf, Andrea Schietinger, Yang‐Xin Fu, Bin Zhang, Donald A. Rowley, Lindsay L. Jones and Alexander J. Bankovich and has published in prestigious journals such as Cell, Journal of Biological Chemistry and The Journal of Experimental Medicine.

In The Last Decade

Natalie A. Bowerman

16 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Natalie A. Bowerman United States	12	727	460	155	146	69	16	1.0k
Rodney A. Prell United States	15	1.0k 1.4×	563 1.2×	143 0.9×	220 1.5×	15 0.2×	24	1.3k
Ang Cui United States	12	377 0.5×	416 0.9×	61 0.4×	435 3.0×	28 0.4×	24	1.1k
Daniel Yoder United States	4	591 0.8×	293 0.6×	112 0.7×	104 0.7×	13 0.2×	6	823
Sangeetha M. Reddy United States	15	248 0.3×	499 1.1×	79 0.5×	256 1.8×	38 0.6×	29	830
Diane Seimetz Germany	12	293 0.4×	435 0.9×	355 2.3×	304 2.1×	41 0.6×	21	839
Mariano R. Gabri Argentina	21	546 0.8×	306 0.7×	238 1.5×	690 4.7×	24 0.3×	42	1.1k
David J. Zahavi United States	12	308 0.4×	340 0.7×	197 1.3×	306 2.1×	19 0.3×	13	803
Julien Faget France	17	1.2k 1.6×	804 1.7×	47 0.3×	279 1.9×	22 0.3×	22	1.5k
Peter A. Prieto United States	13	659 0.9×	828 1.8×	48 0.3×	233 1.6×	14 0.2×	43	1.1k
Daniel T. Mytych United States	16	427 0.6×	148 0.3×	374 2.4×	333 2.3×	36 0.5×	42	796

Countries citing papers authored by Natalie A. Bowerman

Since Specialization

Citations

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

Fields of papers citing papers by Natalie A. Bowerman

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Natalie A. Bowerman. 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 Natalie A. Bowerman. The network helps show where Natalie A. Bowerman may publish in the future.

Co-authorship network of co-authors of Natalie A. Bowerman

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

All Works

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16 of 16 papers shown

Clayton, Gina M., Yang Wang, Frances Crawford, et al.. (2014). Structural Basis of Chronic Beryllium Disease: Linking Allergic Hypersensitivity and Autoimmunity. Cell. 158(1). 132–142. 87 indexed citations

Bowerman, Natalie A., Michael T. Falta, Douglas G. Mack, et al.. (2014). Identification of Multiple Public TCR Repertoires in Chronic Beryllium Disease. The Journal of Immunology. 192(10). 4571–4580. 21 indexed citations

Dai, Shaodong, Michael T. Falta, Natalie A. Bowerman, Amy S. McKee, & Andrew P. Fontenot. (2013). T cell recognition of beryllium. Current Opinion in Immunology. 25(6). 775–780. 19 indexed citations

Bowerman, Natalie A., Michael T. Falta, Douglas G. Mack, et al.. (2013). Characterizing the T cell receptor repertoire of beryllium-responsive CD4+ T cells (P5021). The Journal of Immunology. 190(Supplement_1). 110.11–110.11. 1 indexed citations

Silveira, Lori, Erin C. McCanlies, Tasha E. Fingerlin, et al.. (2012). Chronic Beryllium Disease, HLA-DPB1, and the DP Peptide Binding Groove. The Journal of Immunology. 189(8). 4014–4023. 23 indexed citations

Adams, Jarrett, Samanthi Narayanan, Baoyu Liu, et al.. (2011). T Cell Receptor Signaling Is Limited by Docking Geometry to Peptide-Major Histocompatibility Complex. Immunity. 35(5). 681–693. 201 indexed citations

Bowerman, Natalie A., Michael T. Falta, Douglas G. Mack, John W. Kappler, & Andrew P. Fontenot. (2011). Beryllium-specific T cells adopt an unusual binding topology for antigen recognition (100.25). The Journal of Immunology. 186(1_Supplement). 100.25–100.25. 1 indexed citations

Bowerman, Natalie A., Michael T. Falta, Douglas G. Mack, John W. Kappler, & Andrew P. Fontenot. (2011). Mutagenesis of Beryllium-Specific TCRs Suggests an Unusual Binding Topology for Antigen Recognition. The Journal of Immunology. 187(7). 3694–3703. 21 indexed citations

Chervin, Adam S., Jennifer D. Stone, Natalie A. Bowerman, & David M. Kranz. (2009). Cutting Edge: Inhibitory Effects of CD4 and CD8 on T Cell Activation Induced by High-Affinity Noncognate Ligands. The Journal of Immunology. 183(12). 7639–7643. 10 indexed citations

10.

Bowerman, Natalie A., Terence S. Crofts, Lukasz K. Chlewicki, et al.. (2009). Engineering the binding properties of the T cell receptor:peptide:MHC ternary complex that governs T cell activity. Molecular Immunology. 46(15). 3000–3008. 30 indexed citations

11.

Bowerman, Natalie A., Leremy A. Colf, K. Christopher García, & David M. Kranz. (2009). Different Strategies Adopted by Kb and Ld to Generate T Cell Specificity Directed against Their Respective Bound Peptides. Journal of Biological Chemistry. 284(47). 32551–32561. 21 indexed citations

12.

Thomas, Diana, Miri Kim, Natalie A. Bowerman, et al.. (2009). Recurrence of Intracranial Tumors following Adoptive T Cell Therapy Can Be Prevented by Direct and Indirect Killing Aided by High Levels of Tumor Antigen Cross-Presented on Stromal Cells. The Journal of Immunology. 183(3). 1828–1837. 13 indexed citations

13.

Zhang, Bin, Yi Zhang, Natalie A. Bowerman, et al.. (2008). Equilibrium between Host and Cancer Caused by Effector T Cells Killing Tumor Stroma. Cancer Research. 68(5). 1563–1571. 59 indexed citations

14.

Zhang, Bin, Natalie A. Bowerman, Joseph K. Salama, et al.. (2007). Induced sensitization of tumor stroma leads to eradication of established cancer by T cells. The Journal of Experimental Medicine. 204(1). 49–55. 299 indexed citations

15.

Colf, Leremy A., Alexander J. Bankovich, Natalie A. Bowerman, et al.. (2007). How a Single T Cell Receptor Recognizes Both Self and Foreign MHC. Cell. 129(1). 135–146. 198 indexed citations

16.

Zhang, Bin, Natalie A. Bowerman, Joseph K. Salama, et al.. (2007). Induced sensitization of tumor stroma leads to eradication of established cancer by T cells. The Journal of Cell Biology. 176(2). i6–i6. 6 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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