Ben S. Wendel

561 total citations
9 papers, 180 citations indexed

About

Ben S. Wendel is a scholar working on Immunology, Virology and Molecular Biology. According to data from OpenAlex, Ben S. Wendel has authored 9 papers receiving a total of 180 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Immunology, 5 papers in Virology and 1 paper in Molecular Biology. Recurrent topics in Ben S. Wendel's work include Immune Cell Function and Interaction (8 papers), T-cell and B-cell Immunology (6 papers) and HIV Research and Treatment (5 papers). Ben S. Wendel is often cited by papers focused on Immune Cell Function and Interaction (8 papers), T-cell and B-cell Immunology (6 papers) and HIV Research and Treatment (5 papers). Ben S. Wendel collaborates with scholars based in United States, Mexico and China. Ben S. Wendel's co-authors include Chenfeng He, Ning Jiang, Ke-Yue Ma, Jun Xiao, Hui Yang, Mary Alice Salazar, Qian Shi, Gustavo Reyes‐Terán, Laura F. Su and Susan K. Pierce and has published in prestigious journals such as Nature Communications, The Journal of Immunology and Science Translational Medicine.

In The Last Decade

Ben S. Wendel

9 papers receiving 180 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ben S. Wendel United States	6	132	43	38	26	18	9	180
Marie‐Hélène Donnadieu France	4	305 2.3×	67 1.6×	61 1.6×	12 0.5×	9 0.5×	4	358
Christopher Paustian United States	8	152 1.2×	68 1.6×	97 2.6×	10 0.4×	14 0.8×	24	221
Thomas S. Watkins Australia	8	137 1.0×	40 0.9×	92 2.4×	6 0.2×	9 0.5×	10	221
Alexandru Barbulescu United States	3	173 1.3×	56 1.3×	18 0.5×	11 0.4×	25 1.4×	4	239
Edward J. Evans United Kingdom	7	92 0.7×	54 1.3×	18 0.5×	28 1.1×	7 0.4×	8	176
Javier F. Morales United States	6	74 0.6×	50 1.2×	88 2.3×	47 1.8×	36 2.0×	6	157
E. Lake Potter United States	6	122 0.9×	89 2.1×	80 2.1×	50 1.9×	13 0.7×	8	237
William T. Rothwell United States	6	282 2.1×	70 1.6×	85 2.2×	14 0.5×	13 0.7×	7	342
Spencer T. Chen United States	8	243 1.8×	64 1.5×	37 1.0×	14 0.5×	37 2.1×	8	321
Britta Flach United States	5	85 0.6×	16 0.4×	30 0.8×	24 0.9×	10 0.6×	14	152

Countries citing papers authored by Ben S. Wendel

Since Specialization

Citations

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

Fields of papers citing papers by Ben S. Wendel

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ben S. Wendel. 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 Ben S. Wendel. The network helps show where Ben S. Wendel may publish in the future.

Co-authorship network of co-authors of Ben S. Wendel

This figure shows the co-authorship network connecting the top 25 collaborators of Ben S. Wendel. A scholar is included among the top collaborators of Ben S. Wendel 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 Ben S. Wendel. Ben S. Wendel 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

He, Chenfeng, Michael J. Malone, Ben S. Wendel, et al.. (2022). Transcriptome and TCR Repertoire Measurements of CXCR3+ T Follicular Helper Cells Within HIV-Infected Human Lymph Nodes. Frontiers in Immunology. 13. 859070–859070. 1 indexed citations

Wendel, Ben S., Yajing Fu, Chenfeng He, et al.. (2020). Rapid HIV Progression Is Associated with Extensive Ongoing Somatic Hypermutation. The Journal of Immunology. 205(3). 587–594. 5 indexed citations

Wang, Yifeng, Chenfeng He, Ben S. Wendel, et al.. (2019). Mapping the Lineage Relationship between CXCR5+ and CXCR5− CD4+ T Cells in HIV-Infected Human Lymph Nodes. Cell Reports. 28(12). 3047–3060.e7. 20 indexed citations

Ma, Ke-Yue, Chenfeng He, Ben S. Wendel, et al.. (2018). Immune Repertoire Sequencing Using Molecular Identifiers Enables Accurate Clonality Discovery and Clone Size Quantification. Frontiers in Immunology. 9. 33–33. 42 indexed citations

Wendel, Ben S., Chenfeng He, Perla M. Del Río Estrada, et al.. (2018). The receptor repertoire and functional profile of follicular T cells in HIV-infected lymph nodes. Science Immunology. 3(22). 28 indexed citations

Wendel, Ben S., Chenfeng He, Mingjuan Qu, et al.. (2017). Accurate immune repertoire sequencing reveals malaria infection driven antibody lineage diversification in young children. Nature Communications. 8(1). 531–531. 26 indexed citations

Wendel, Ben S., Chenfeng He, Peter D. Crompton, Susan K. Pierce, & Ning Jiang. (2017). A Streamlined Approach to Antibody Novel Germline Allele Prediction and Validation. Frontiers in Immunology. 8. 1072–1072. 4 indexed citations

Hart, Geoffrey T., Munir Akkaya, Asiya Seema Chida, et al.. (2016). The Regulation of Inherently Autoreactive VH4-34–Expressing B Cells in Individuals Living in a Malaria-Endemic Area of West Africa. The Journal of Immunology. 197(10). 3841–3849. 12 indexed citations

Ma, Ke-Yue, Chenfeng He, Qian Shi, et al.. (2016). Direct measurement of T cell receptor affinity and sequence from naïve antiviral T cells. Science Translational Medicine. 8(341). 341ra77–341ra77. 42 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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