Matthew Black

1.1k total citations
11 papers, 935 citations indexed

About

Matthew Black is a scholar working on Molecular Biology, Immunology and Biomaterials. According to data from OpenAlex, Matthew Black has authored 11 papers receiving a total of 935 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 5 papers in Immunology and 4 papers in Biomaterials. Recurrent topics in Matthew Black's work include Immune Response and Inflammation (4 papers), Immunotherapy and Immune Responses (4 papers) and RNA Interference and Gene Delivery (3 papers). Matthew Black is often cited by papers focused on Immune Response and Inflammation (4 papers), Immunotherapy and Immune Responses (4 papers) and RNA Interference and Gene Delivery (3 papers). Matthew Black collaborates with scholars based in United States, Australia and Estonia. Matthew Black's co-authors include Matthew Tirrell, Amanda Trent, Colleen Olive, Dimitris Missirlis, Mark Kastantin, Brian Lin, Venkata Ramana Kotamraju, Erkki Ruoslahti, Priya Karmali and Badriprasad Ananthanarayanan and has published in prestigious journals such as Advanced Materials, PLoS ONE and The Journal of Physical Chemistry B.

In The Last Decade

Matthew Black

11 papers receiving 920 citations

Peers

Matthew Black

MB

BIOMA

IMMUN

OC

BE

Huifang Han United States

Amanda Trent United States

Yaoying Wu United States

Marjan M. Fretz Netherlands

Shin‐ichi Sawada Japan

Jeisa M. Pelet United States

Tyson J. Moyer United States

Michael J. Heffernan United States

Simon Van Herck Belgium

Russell Johnson United States

Huifang Han United States

Matthew Black

543 ×0.9

MB

352 ×0.8

BIOMA

313 ×1.2

IMMUN

121 ×0.8

OC

111 ×0.9

BE

Citations per year, relative to Matthew Black Matthew Black (= 1×) peers Huifang Han

Countries citing papers authored by Matthew Black

Since Specialization

Citations

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

Fields of papers citing papers by Matthew Black

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthew Black

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

All Works

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11 of 11 papers shown

1.

Trent, Amanda, Bret D. Ulery, Matthew Black, et al.. (2014). Peptide Amphiphile Micelles Self-Adjuvant Group A Streptococcal Vaccination. The AAPS Journal. 17(2). 380–388. 70 indexed citations

2.

Missirlis, Dimitris, Tambet Teesalu, Matthew Black, & Matthew Tirrell. (2013). The Non-Peptidic Part Determines the Internalization Mechanism and Intracellular Trafficking of Peptide Amphiphiles. PLoS ONE. 8(1). e54611–e54611. 23 indexed citations

3.

Şenses, Erkan, et al.. (2013). Spatial Ordering of Colloids in a Drying Aqueous Polymer Droplet. Langmuir. 29(8). 2588–2594. 27 indexed citations

4.

Black, Matthew, et al.. (2012). Self‐Assembled Peptide Amphiphile Micelles Containing a Cytotoxic T‐Cell Epitope Promote a Protective Immune Response In Vivo. Advanced Materials. 24(28). 3845–3849. 203 indexed citations

5.

Mitchell, Daniel A., Michelle C.R. Yong, Jyothy Raju, et al.. (2011). Toll-like receptor-mediated adjuvanticity and immunomodulation in dendritic cells: Implications for peptide vaccines. Human Vaccines. 7(sup1). 85–93. 15 indexed citations

6.

Trent, Amanda, et al.. (2011). Structural properties of soluble peptide amphiphile micelles. Soft Matter. 7(20). 9572–9572. 151 indexed citations

7.

Mitchell, Daniel A., Michelle C.R. Yong, Wayne A. Schroder, et al.. (2010). Dual Stimulation of MyD88‐Dependent Toll‐Like Receptors Induces Synergistically Enhanced Production of Inflammatory Cytokines in Murine Bone Marrow–Derived Dendritic Cells. The Journal of Infectious Diseases. 202(2). 318–329. 29 indexed citations

8.

Black, Matthew, Amanda Trent, Matthew Tirrell, & Colleen Olive. (2010). Advances in the design and delivery of peptide subunit vaccines with a focus on Toll-like receptor agonists. Expert Review of Vaccines. 9(2). 157–173. 154 indexed citations

9.

Kastantin, Mark, Dimitris Missirlis, Matthew Black, et al.. (2010). Thermodynamic and Kinetic Stability of DSPE-PEG(2000) Micelles in the Presence of Bovine Serum Albumin. The Journal of Physical Chemistry B. 114(39). 12632–12640. 64 indexed citations

10.

Karmali, Priya, Venkata Ramana Kotamraju, Mark Kastantin, et al.. (2008). Targeting of albumin-embedded paclitaxel nanoparticles to tumors. Nanomedicine Nanotechnology Biology and Medicine. 5(1). 73–82. 194 indexed citations

11.

Kastantin, Mark, et al.. (2007). Increase of Fluorescence Anisotropy Upon Self‐Assembly in Headgroup‐Labeled Surfactants. Macromolecular Bioscience. 7(2). 189–194. 5 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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