Martin Kolev

3.8k total citations · 2 hit papers
41 papers, 2.6k citations indexed

About

Martin Kolev is a scholar working on Immunology, Hematology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Martin Kolev has authored 41 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Immunology, 12 papers in Hematology and 7 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Martin Kolev's work include Complement system in diseases (30 papers), Immune Cell Function and Interaction (8 papers) and Monoclonal and Polyclonal Antibodies Research (7 papers). Martin Kolev is often cited by papers focused on Complement system in diseases (30 papers), Immune Cell Function and Interaction (8 papers) and Monoclonal and Polyclonal Antibodies Research (7 papers). Martin Kolev collaborates with scholars based in United Kingdom, United States and Germany. Martin Kolev's co-authors include Claudia Kemper, Gaëlle Le Friec, Erin E. West, Giuseppina Arbore, Rossen Donev, Behdad Afzali, Marieta M. Ruseva, Maciej M. Markiewski, Thomas Reinheckel and Johannes Thome and has published in prestigious journals such as Nucleic Acids Research, SHILAP Revista de lepidopterología and Immunity.

In The Last Decade

Martin Kolev

35 papers receiving 2.6k citations

Hit Papers

Keeping It All Going—Complement Meets Metabolism 2013 2026 2017 2021 2017 2013 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Martin Kolev United Kingdom 19 1.7k 577 284 263 229 41 2.6k
Diana Wouters Netherlands 28 1.4k 0.8× 661 1.1× 197 0.7× 154 0.6× 119 0.5× 86 2.6k
Jan Ehrchen Germany 26 1.4k 0.8× 958 1.7× 385 1.4× 189 0.7× 96 0.4× 64 2.9k
Xavier Culleré United States 25 1.8k 1.1× 1.3k 2.2× 367 1.3× 291 1.1× 507 2.2× 38 3.9k
Sanae Ben Mkaddem France 26 931 0.6× 589 1.0× 232 0.8× 171 0.7× 380 1.7× 44 2.1k
Carl S. Goodyear United Kingdom 34 2.1k 1.3× 1.2k 2.2× 360 1.3× 205 0.8× 77 0.3× 110 4.2k
Sherry D. Fleming United States 27 991 0.6× 401 0.7× 225 0.8× 149 0.6× 93 0.4× 74 2.1k
Ian A. Shiels Australia 25 912 0.5× 408 0.7× 128 0.5× 174 0.7× 133 0.6× 48 1.9k
Dominic De Nardo Australia 26 1.9k 1.1× 2.1k 3.6× 430 1.5× 188 0.7× 187 0.8× 45 3.4k
Björn Petri Canada 28 2.4k 1.4× 1.2k 2.0× 412 1.5× 300 1.1× 56 0.2× 46 3.9k
Jelena S. Bezbradica United States 25 1.6k 1.0× 1.1k 1.9× 176 0.6× 124 0.5× 114 0.5× 45 2.6k

Countries citing papers authored by Martin Kolev

Since Specialization
Citations

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

Fields of papers citing papers by Martin Kolev

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Martin Kolev

This figure shows the co-authorship network connecting the top 25 collaborators of Martin Kolev. A scholar is included among the top collaborators of Martin Kolev 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 Martin Kolev. Martin Kolev 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.
Merle, Nicolas S., Martin Kolev, Erin E. West, et al.. (2025). Peptide-mediated modulation of complement-like CD109 boosts T cell anti-tumor responses 2967. The Journal of Immunology. 214(Supplement_1).
2.
Giridharan, Thejaswini, Anzer Khan, Tiffany R. Emmons, et al.. (2025). Complement signaling as a T-cell checkpoint in the tumor microenvironment. Immunobiology. 230(4). 152951–152951.
3.
4.
Merle, Nicolas S., Martin Kolev, Jubayer Rahman, et al.. (2025). Peptide-mediated modulation of T cell-expressed complement-like CD109boosts T cell anti-tumor responses. Immunobiology. 230(4). 153065–153065.
5.
Freiwald, Tilo, Md Tajmul, Daniel Chauss, et al.. (2025). Inflammatory cytokines drive local C3 transcription to regulate metabolic reprogramming in kidney epithelial cells and subsequent fibrosis. Immunobiology. 230(4). 153070–153070.
6.
Hillmen, Peter, et al.. (2024). Navigating the Complement Pathway to Optimize PNH Treatment with Pegcetacoplan and Other Currently Approved Complement Inhibitors. International Journal of Molecular Sciences. 25(17). 9477–9477. 5 indexed citations
7.
Freeley, Simon, John Cardone, Sira C. Günther, et al.. (2018). Asparaginyl Endopeptidase (Legumain) Supports Human Th1 Induction via Cathepsin L-Mediated Intracellular C3 Activation. Frontiers in Immunology. 9. 2449–2449. 39 indexed citations
8.
Kolev, Martin & Maciej M. Markiewski. (2018). Targeting complement-mediated immunoregulation for cancer immunotherapy. Seminars in Immunology. 37. 85–97. 51 indexed citations
9.
Arbore, Giuseppina, Claudia Kemper, & Martin Kolev. (2017). Intracellular complement − the complosome − in immune cell regulation. Molecular Immunology. 89. 2–9. 149 indexed citations
10.
Kolev, Martin & Claudia Kemper. (2017). Keeping It All Going—Complement Meets Metabolism. Frontiers in Immunology. 8. 1–1. 735 indexed citations breakdown →
11.
Kolev, Martin, Sarah Dimeloe, Gaëlle Le Friec, et al.. (2015). Complement Regulates Nutrient Influx and Metabolic Reprogramming during Th1 Cell Responses. Immunity. 42(6). 1033–1047. 192 indexed citations
12.
Kemper, Claudia & Martin Kolev. (2014). Enzymatic Reactions and Detection of C3 Cleavage Fragments. BIO-PROTOCOL. 4(16). 2 indexed citations
13.
Kolev, Martin & Claudia Kemper. (2013). Detection of Cell Membrane-Bound CD46 Using Flow Cytometry. Methods in molecular biology. 1100. 329–339.
15.
Kolev, Martin, et al.. (2012). Cleavage of intracellular C3 into C3a and C3b by cathepsin L is required for human TH1 induction. Immunobiology. 217(11). 1150–1150. 3 indexed citations
16.
Kolev, Martin, et al.. (2011). Complement in Cancer and Cancer Immunotherapy. Archivum Immunologiae et Therapiae Experimentalis. 59(6). 407–419. 57 indexed citations
17.
Thiel, Steffen, Martin Kolev, Søren E. Degn, et al.. (2009). Polymorphisms in Mannan-Binding Lectin (MBL)-Associated Serine Protease 2 Affect Stability, Binding to MBL, and Enzymatic Activity. The Journal of Immunology. 182(5). 2939–2947. 54 indexed citations
18.
Kolev, Martin, Marieta M. Ruseva, Claire L. Harris, B. Paul Morgan, & Rossen Donev. (2009). Implication of Complement System and its Regulators in Alzheimers Disease. Current Neuropharmacology. 7(1). 1–8. 57 indexed citations
19.
Kolev, Martin, Baalasubramanian Sivasankar, Claire L. Harris, et al.. (2009). Upregulating CD59: a new strategy for protection of neurons from complement-mediated degeneration. The Pharmacogenomics Journal. 10(1). 12–19. 25 indexed citations
20.
Roumenina, Lubka T., Marieta M. Ruseva, Rohit Ghai, et al.. (2006). Interaction of C1q with IgG1, C-reactive Protein and Pentraxin 3:  Mutational Studies Using Recombinant Globular Head Modules of Human C1q A, B, and C Chains. Biochemistry. 45(13). 4093–4104. 124 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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