Michael D. Solga

1.4k total citations
24 papers, 1.1k citations indexed

About

Michael D. Solga is a scholar working on Immunology, Infectious Diseases and Surgery. According to data from OpenAlex, Michael D. Solga has authored 24 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Immunology, 4 papers in Infectious Diseases and 4 papers in Surgery. Recurrent topics in Michael D. Solga's work include Complement system in diseases (5 papers), T-cell and B-cell Immunology (5 papers) and Monoclonal and Polyclonal Antibodies Research (4 papers). Michael D. Solga is often cited by papers focused on Complement system in diseases (5 papers), T-cell and B-cell Immunology (5 papers) and Monoclonal and Polyclonal Antibodies Research (4 papers). Michael D. Solga collaborates with scholars based in United States, Poland and France. Michael D. Solga's co-authors include Ronald P. Taylor, Margaret A. Lindorfer, Adam D. Kennedy, Michael E. Williams, David J. DiLillo, Paul V. Beum, Charles E. Hess, Joanne Lannigan, John Densmore and Klaus Ley and has published in prestigious journals such as Nature, Blood and The Journal of Immunology.

In The Last Decade

Michael D. Solga

21 papers receiving 1.0k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Michael D. Solga 556 296 182 177 154 24 1.1k
Katrina L. Randall 1.0k 1.8× 148 0.5× 66 0.4× 270 1.5× 77 0.5× 29 1.5k
Michał Pyzik 756 1.4× 408 1.4× 65 0.4× 330 1.9× 68 0.4× 30 1.4k
Sonia Néron 702 1.3× 185 0.6× 106 0.6× 428 2.4× 75 0.5× 51 1.3k
W.P. Zeijlemaker 957 1.7× 456 1.5× 188 1.0× 380 2.1× 130 0.8× 47 1.7k
Haruo Nagumo 1.7k 3.1× 124 0.4× 130 0.7× 395 2.2× 153 1.0× 26 2.2k
Olivier Manches 1.2k 2.2× 194 0.7× 118 0.6× 345 1.9× 168 1.1× 44 1.8k
Michael F. Concino 781 1.4× 195 0.7× 65 0.4× 500 2.8× 108 0.7× 21 1.5k
Irene Puga 1.1k 1.9× 79 0.3× 101 0.6× 390 2.2× 86 0.6× 19 1.5k
Maria C. Faber‐Krol 827 1.5× 154 0.5× 107 0.6× 215 1.2× 44 0.3× 15 1.2k
Inessa Schwab 720 1.3× 616 2.1× 72 0.4× 545 3.1× 106 0.7× 14 1.2k

Countries citing papers authored by Michael D. Solga

Since Specialization
Citations

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

Fields of papers citing papers by Michael D. Solga

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael D. Solga. 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 Michael D. Solga. The network helps show where Michael D. Solga may publish in the future.

Co-authorship network of co-authors of Michael D. Solga

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

All Works

20 of 20 papers shown
1.
Pastoret, Cédric, Jun Yang, David J. Feith, et al.. (2025). Diagnostic criteria for NK cell large granular lymphocyte leukemia: validation through a multicentric international study. Blood Advances. 10(3). 642–653.
2.
3.
Rival, Claudia, Hui Qiao, Mohd Arish, et al.. (2024). B cells secrete functional antigen-specific IgG antibodies on extracellular vesicles. Scientific Reports. 14(1). 16970–16970. 7 indexed citations
4.
Bruce, Anthony C., et al.. (2024). Decellularized porcine dermal hydrogel enhances implant-based wound healing in the setting of irradiation. Acta Biomaterialia. 191. 260–275. 2 indexed citations
5.
Chen, Xizhao, Michael D. Solga, Peter I. Lobo, et al.. (2023). BMP-6 promotes type 2 immune response during enhancement of rat mandibular bone defect healing. Frontiers in Immunology. 14. 1064238–1064238. 4 indexed citations
6.
Young, Mary K., Rebecca M. Carpenter, Michael D. Solga, et al.. (2021). IgG Antibodies against SARS-CoV-2 Correlate with Days from Symptom Onset, Viral Load and IL-10. The Journal of Immunology. 206(1_Supplement). 114.12–114.12. 7 indexed citations
7.
Solga, Michael D., et al.. (2019). Using Imaging Flow Cytometry to Quantify Neutrophil Phagocytosis. Methods in molecular biology. 2087. 127–140. 11 indexed citations
8.
Smirnov, Asya, Michael D. Solga, Joanne Lannigan, & Alison K. Criss. (2015). An improved method for differentiating cell-bound from internalized particles by imaging flow cytometry. Journal of Immunological Methods. 423. 60–69. 33 indexed citations
9.
Ralston, Katherine S., et al.. (2014). Trogocytosis by Entamoeba histolytica contributes to cell killing and tissue invasion. Nature. 508(7497). 526–530. 155 indexed citations
10.
Donato, Gina M., Mary C. Gray, Glynis L. Kolling, et al.. (2012). Systems analysis of the transcriptional response of human ileocecal epithelial cells to Clostridium difficile toxins and effects on cell cycle control. BMC Systems Biology. 6(1). 2–2. 16 indexed citations
11.
Reefer, A.J., Kathryn E. Hulse, Joanne Lannigan, et al.. (2010). Flow cytometry imaging identifies rare TH2 cells expressing thymic stromal lymphopoietin receptor in a “proallergic” milieu. Journal of Allergy and Clinical Immunology. 126(5). 1049–1058.e10. 22 indexed citations
12.
Reefer, A.J., Shama M. Satinover, Michael D. Solga, et al.. (2008). Analysis of CD25hiCD4+ “regulatory” T-cell subtypes in atopic dermatitis reveals a novel TH2-like population. Journal of Allergy and Clinical Immunology. 121(2). 415–422.e3. 68 indexed citations
13.
Collins, Colm B., et al.. (2008). CD44 Deficiency Attenuates Chronic Murine Ileitis. Gastroenterology. 135(6). 1993–2002. 24 indexed citations
14.
Basit, Abdul, et al.. (2006). ICAM-1 and LFA-1 play critical roles in LPS-induced neutrophil recruitment into the alveolar space. American Journal of Physiology-Lung Cellular and Molecular Physiology. 291(2). L200–L207. 106 indexed citations
15.
Rivera–Nieves, Jesús, Timothy S. Olson, Giorgos Bamias, et al.. (2005). L-Selectin, α4β1, and α4β7 Integrins Participate in CD4+ T Cell Recruitment to Chronically Inflamed Small Intestine. The Journal of Immunology. 174(4). 2343–2352. 113 indexed citations
16.
Kennedy, Adam D., Paul V. Beum, Michael D. Solga, et al.. (2004). Rituximab Infusion Promotes Rapid Complement Depletion and Acute CD20 Loss in Chronic Lymphocytic Leukemia. The Journal of Immunology. 172(5). 3280–3288. 276 indexed citations
17.
Lindorfer, Margaret A., et al.. (2003). B Cell Complement Receptor 2 Transfer Reaction. The Journal of Immunology. 170(7). 3671–3678. 28 indexed citations
18.
Kennedy, Adam D., Michael D. Solga, Theodore A. Schuman, et al.. (2003). An anti-C3b(i) mAb enhances complement activation, C3b(i) deposition, and killing of CD20+ cells by rituximab. Blood. 101(3). 1071–1079. 118 indexed citations
19.
Lindorfer, Margaret A., Alessandra Nardin, Patricia L. Foley, et al.. (2001). Targeting of Pseudomonas aeruginosa in the Bloodstream with Bispecific Monoclonal Antibodies. The Journal of Immunology. 167(4). 2240–2249. 34 indexed citations
20.
Sokoloff, Mitchell H., Alessandra Nardin, Michael D. Solga, et al.. (2000). Targeting of cancer cells with monoclonal antibodies specific for C3b(i). Cancer Immunology Immunotherapy. 49(10). 551–562. 10 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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