Ben Capoccia

750 total citations · 1 hit paper
7 papers, 592 citations indexed

About

Ben Capoccia is a scholar working on Immunology, Genetics and Biomedical Engineering. According to data from OpenAlex, Ben Capoccia has authored 7 papers receiving a total of 592 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Immunology, 2 papers in Genetics and 2 papers in Biomedical Engineering. Recurrent topics in Ben Capoccia's work include Phagocytosis and Immune Regulation (5 papers), Immunotherapy and Immune Responses (4 papers) and Mesenchymal stem cell research (2 papers). Ben Capoccia is often cited by papers focused on Phagocytosis and Immune Regulation (5 papers), Immunotherapy and Immune Responses (4 papers) and Mesenchymal stem cell research (2 papers). Ben Capoccia collaborates with scholars based in United States. Ben Capoccia's co-authors include Jan A. Nolta, Mo A. Dao, Ivana Rosová, Daniel C. Link, John O. Richards, Robyn J. Puro, Ronald R. Hiebsch, Victoria Sung, Myriam N. Bouchlaka and Willie Wilson and has published in prestigious journals such as Blood, Stem Cells and Molecular Cancer Therapeutics.

In The Last Decade

Ben Capoccia

7 papers receiving 580 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Hypoxic Preconditioning Results in Increased Motility and Improved Therapeutic Potential of Human Mesenchymal Stem Cells

2008 560 citations Ivana Rosová, Mo A. Dao et al. Stem Cells profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ben Capoccia United States	5	445	243	178	139	108	7	592
Martin Vaegler Germany	13	314 0.7×	252 1.0×	121 0.7×	105 0.8×	81 0.8×	28	630
Arjunan Subramanian Singapore	13	508 1.1×	267 1.1×	243 1.4×	67 0.5×	116 1.1×	20	712
Giuseppe Malpasso Italy	8	336 0.8×	224 0.9×	361 2.0×	94 0.7×	106 1.0×	11	724
Christina Holzwarth Germany	7	578 1.3×	276 1.1×	183 1.0×	115 0.8×	79 0.7×	7	786
З. И. Цоколаева Russia	12	263 0.6×	264 1.1×	268 1.5×	82 0.6×	132 1.2×	53	617
Ivana Rosová United States	6	479 1.1×	274 1.1×	359 2.0×	177 1.3×	117 1.1×	8	831
Franziska Nitzsche United States	10	458 1.0×	182 0.7×	284 1.6×	59 0.4×	92 0.9×	10	744
Patrizia Danieli Italy	5	325 0.7×	233 1.0×	236 1.3×	94 0.7×	109 1.0×	6	581
Ourania Trohatou Greece	13	444 1.0×	327 1.3×	310 1.7×	151 1.1×	59 0.5×	15	816
Sherezade Fuentes‐Julián Spain	8	383 0.9×	213 0.9×	221 1.2×	70 0.5×	60 0.6×	10	751

Countries citing papers authored by Ben Capoccia

Since Specialization

Citations

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

Fields of papers citing papers by Ben Capoccia

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ben Capoccia

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

All Works

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7 of 7 papers shown

1.

Richards, John O., Robyn J. Puro, Gabriela Andrejeva, et al.. (2020). AO-176, a Highly Differentiated Clinical Stage Anti-CD47 Antibody, Exerts Potent Anti-Tumor Activity in Preclinical Models of Multiple Myeloma As a Single Agent and in Combination with Approved Therapeutics. Blood. 136(Supplement 1). 3–4. 12 indexed citations

2.

Bouchlaka, Myriam N., et al.. (2019). Abstract B100: AO-176, a highly differentiated humanized anti-CD47 antibody, exhibits single-agent and combination antitumor efficacy with chemotherapy and targeted antibodies. Molecular Cancer Therapeutics. 18(12_Supplement). B100–B100. 2 indexed citations

3.

Richards, John O., Myriam N. Bouchlaka, Robyn J. Puro, et al.. (2019). Highly Differentiated Anti-CD47 Antibody, AO-176, Potently Inhibits Hematologic Malignancies Alone and in Combination. Blood. 134(Supplement_1). 1844–1844. 5 indexed citations

4.

Wilson, Willie, Myriam N. Bouchlaka, Ben Capoccia, et al.. (2018). Therapeutic Potential of AO-176, a Next Generation Humanized CD47 Antibody, for Hematologic Malignancies. Blood. 132(Supplement 1). 4180–4180. 4 indexed citations

5.

Muz, Barbara, Justin King, Daniel Kohnen, et al.. (2017). Targeting CD47 As a Novel Therapeutic Strategy in Multiple Myeloma. Blood. 130. 3099–3099. 2 indexed citations

6.

Zhou, Ping, Sarah Hohm, Ben Capoccia, et al.. (2008). Immunodeficient Mouse Models to Study Human Stem Cell-Mediated Tissue Repair. Methods in molecular biology. 430. 213–225. 7 indexed citations

7.

Rosová, Ivana, Mo A. Dao, Ben Capoccia, Daniel C. Link, & Jan A. Nolta. (2008). Hypoxic Preconditioning Results in Increased Motility and Improved Therapeutic Potential of Human Mesenchymal Stem Cells. Stem Cells. 26(8). 2173–2182. 560 indexed citations breakdown →

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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