Mallary C. Greenlee‐Wacker

1.4k total citations
18 papers, 1.1k citations indexed

About

Mallary C. Greenlee‐Wacker is a scholar working on Immunology, Infectious Diseases and Molecular Biology. According to data from OpenAlex, Mallary C. Greenlee‐Wacker has authored 18 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Immunology, 5 papers in Infectious Diseases and 5 papers in Molecular Biology. Recurrent topics in Mallary C. Greenlee‐Wacker's work include Neutrophil, Myeloperoxidase and Oxidative Mechanisms (6 papers), Antimicrobial Resistance in Staphylococcus (4 papers) and Phagocytosis and Immune Regulation (3 papers). Mallary C. Greenlee‐Wacker is often cited by papers focused on Neutrophil, Myeloperoxidase and Oxidative Mechanisms (6 papers), Antimicrobial Resistance in Staphylococcus (4 papers) and Phagocytosis and Immune Regulation (3 papers). Mallary C. Greenlee‐Wacker collaborates with scholars based in United States and Canada. Mallary C. Greenlee‐Wacker's co-authors include Waseem Haider, William M. Nauseef, M.J.K. Lodhi, Kashif Mairaj Deen, Suzanne S. Bohlson, Manuel Galvan, Frank R. DeLeo, Adeline R. Porter, Scott D. Kobayashi and Kevin M. Rigby and has published in prestigious journals such as Blood, The Journal of Immunology and Immunological Reviews.

In The Last Decade

Mallary C. Greenlee‐Wacker

17 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mallary C. Greenlee‐Wacker United States 12 507 281 247 116 100 18 1.1k
Xing He China 16 546 1.1× 455 1.6× 242 1.0× 62 0.5× 55 0.6× 35 1.6k
Larry Lowe United States 7 265 0.5× 242 0.9× 598 2.4× 58 0.5× 151 1.5× 8 1.4k
Vikas Saxena United States 21 349 0.7× 354 1.3× 182 0.7× 80 0.7× 180 1.8× 57 1.1k
Shengduo Liu China 9 433 0.9× 414 1.5× 532 2.2× 145 1.3× 49 0.5× 11 1.7k
Yanan Wang China 23 137 0.3× 967 3.4× 169 0.7× 153 1.3× 30 0.3× 103 1.8k
Ran He China 24 472 0.9× 574 2.0× 55 0.2× 97 0.8× 27 0.3× 72 1.7k
Weiyuan Yu China 17 126 0.2× 262 0.9× 184 0.7× 43 0.4× 83 0.8× 73 867
Jihong Tang China 15 142 0.3× 318 1.1× 383 1.6× 35 0.3× 541 5.4× 32 1.5k
Philip Hartjen Germany 14 496 1.0× 103 0.4× 53 0.2× 106 0.9× 116 1.2× 41 1.2k
Klaus Wolff Germany 24 383 0.8× 136 0.5× 78 0.3× 35 0.3× 19 0.2× 72 1.7k

Countries citing papers authored by Mallary C. Greenlee‐Wacker

Since Specialization
Citations

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

Fields of papers citing papers by Mallary C. Greenlee‐Wacker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mallary C. Greenlee‐Wacker. 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 Mallary C. Greenlee‐Wacker. The network helps show where Mallary C. Greenlee‐Wacker may publish in the future.

Co-authorship network of co-authors of Mallary C. Greenlee‐Wacker

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

All Works

18 of 18 papers shown
1.
2.
Seth, Misago D., et al.. (2025). Redirecting the host immune response to bacterial infection with antibody-recruiting molecules (ARMs). Current Opinion in Chemical Biology. 86. 102585–102585. 1 indexed citations
3.
Mahon, Andrew R., et al.. (2024). In response to bacteria, neutrophils release extracellular vesicles capable of initiating thrombin generation through DNA-dependent and independent pathways. Journal of Leukocyte Biology. 116(6). 1223–1236. 4 indexed citations
4.
Kavunja, Herbert W., et al.. (2023). Immune Targeting of Mycobacteria through Cell Surface Glycan Engineering. ACS Chemical Biology. 18(7). 1548–1556. 6 indexed citations
5.
Mahon, Andrew R., et al.. (2022). Extracellular vesicles from A23187-treated neutrophils cause cGAS-STING-dependent IL-6 production by macrophages. Frontiers in Immunology. 13. 949451–949451. 25 indexed citations
6.
Bohlson, Suzanne S., et al.. (2022). Piecing Complement Together with LEGO Bricks: Impacts on Interest, Confidence, and Learning in the Immunology Classroom. ImmunoHorizons. 6(7). 488–496. 4 indexed citations
7.
Greenlee‐Wacker, Mallary C., et al.. (2021). Neutrophil-derived extracellular vesicles modulate the phenotype of naïve human neutrophils. Journal of Leukocyte Biology. 110(5). 917–925. 15 indexed citations
8.
Lodhi, M.J.K., Kashif Mairaj Deen, Mallary C. Greenlee‐Wacker, & Waseem Haider. (2019). Additively manufactured 316L stainless steel with improved corrosion resistance and biological response for biomedical applications. Additive manufacturing. 27. 8–19. 264 indexed citations
9.
Khan, Muhammad Mudasser, et al.. (2019). Property optimization of Zr-Ti-X (X = Ag, Al) metallic glass via combinatorial development aimed at prospective biomedical application. Surface and Coatings Technology. 372. 278–287. 29 indexed citations
10.
Greenlee‐Wacker, Mallary C., et al.. (2017). Lysis of human neutrophils by community-associated methicillin-resistant Staphylococcus aureus. Blood. 129(24). 3237–3244. 43 indexed citations
11.
Greenlee‐Wacker, Mallary C.. (2016). Clearance of apoptotic neutrophils and resolution of inflammation. Immunological Reviews. 273(1). 357–370. 339 indexed citations
12.
Greenlee‐Wacker, Mallary C. & William M. Nauseef. (2016). IFN-γ targets macrophage-mediated immune responses toward Staphylococcus aureus. Journal of Leukocyte Biology. 101(3). 751–758. 27 indexed citations
13.
Greenlee‐Wacker, Mallary C., Frank R. DeLeo, & William M. Nauseef. (2014). How methicillin-resistant Staphylococcus aureus evade neutrophil killing. Current Opinion in Hematology. 22(1). 30–35. 38 indexed citations
14.
Greenlee‐Wacker, Mallary C., Kevin M. Rigby, Scott D. Kobayashi, et al.. (2014). Phagocytosis of Staphylococcus aureus by Human Neutrophils Prevents Macrophage Efferocytosis and Induces Programmed Necrosis. The Journal of Immunology. 192(10). 4709–4717. 147 indexed citations
15.
Greenlee‐Wacker, Mallary C., Manuel Galvan, & Suzanne S. Bohlson. (2012). CD93: Recent Advances and Implications in Disease. Current Drug Targets. 13(3). 411–420. 39 indexed citations
16.
Galvan, Manuel, Mallary C. Greenlee‐Wacker, & Suzanne S. Bohlson. (2012). C1q and phagocytosis: the perfect complement to a good meal. Journal of Leukocyte Biology. 92(3). 489–497. 73 indexed citations
17.
Greenlee‐Wacker, Mallary C., et al.. (2011). Membrane-Associated CD93 Regulates Leukocyte Migration and C1q-Hemolytic Activity during Murine Peritonitis. The Journal of Immunology. 187(6). 3353–3361. 26 indexed citations
18.
Greenlee‐Wacker, Mallary C., et al.. (2010). Macrophage Response to Apoptotic Cells Varies with the Apoptotic Trigger and Is Not Altered by a Deficiency in LRP Expression. Journal of Innate Immunity. 2(3). 248–259. 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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