Marc Presler

588 total citations
9 papers, 395 citations indexed

About

Marc Presler is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Spectroscopy. According to data from OpenAlex, Marc Presler has authored 9 papers receiving a total of 395 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 3 papers in Radiology, Nuclear Medicine and Imaging and 3 papers in Spectroscopy. Recurrent topics in Marc Presler's work include Advanced Proteomics Techniques and Applications (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers) and CAR-T cell therapy research (2 papers). Marc Presler is often cited by papers focused on Advanced Proteomics Techniques and Applications (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers) and CAR-T cell therapy research (2 papers). Marc Presler collaborates with scholars based in United States, China and Germany. Marc Presler's co-authors include Martin Wühr, Leonid Peshkin, Steven P. Gygi, Marc W. Kirschner, Marko E. Horb, Robert M. Freeman, Matthew Sonnett, Thomas Güttler, Graeme C. McAlister and Aaron C. Groen and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and Development.

In The Last Decade

Marc Presler

9 papers receiving 392 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Marc Presler United States	7	311	105	77	26	24	9	395
Natalie Romanov Germany	11	410 1.3×	85 0.8×	114 1.5×	18 0.7×	33 1.4×	19	553
Leonid Serebryannyy United States	13	352 1.1×	163 1.6×	27 0.4×	25 1.0×	25 1.0×	19	462
Monika I. Linder Germany	7	247 0.8×	145 1.4×	32 0.4×	20 0.8×	31 1.3×	11	398
Tomislav Kamenski Germany	4	793 2.5×	80 0.8×	152 2.0×	53 2.0×	55 2.3×	5	917
Deepti Rao United States	9	276 0.9×	125 1.2×	15 0.2×	13 0.5×	18 0.8×	12	422
Kalle Jonasson Sweden	6	353 1.1×	49 0.5×	86 1.1×	31 1.2×	23 1.0×	7	449
Pelagia Kyriakidou Germany	3	198 0.6×	27 0.3×	59 0.8×	55 2.1×	18 0.8×	4	300
Seung Woo Ryu United States	7	232 0.7×	33 0.3×	54 0.7×	29 1.1×	18 0.8×	18	309
Marla Tipping United States	9	206 0.7×	128 1.2×	11 0.1×	28 1.1×	22 0.9×	13	350
Anna Bartosik United States	4	267 0.9×	107 1.0×	14 0.2×	48 1.8×	17 0.7×	8	343

Countries citing papers authored by Marc Presler

Since Specialization

Citations

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

Fields of papers citing papers by Marc Presler

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marc Presler

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

All Works

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9 of 9 papers shown

Wang, Huajing, Tengteng Li, Bohua Li, et al.. (2024). ATG-101 Is a Tetravalent PD-L1×4-1BB Bispecific Antibody That Stimulates Antitumor Immunity through PD-L1 Blockade and PD-L1–Directed 4-1BB Activation. Cancer Research. 84(10). 1680–1698. 11 indexed citations

Matteson, Andrew, Marc Presler, John M. Burke, et al.. (2022). Early Feasibility Assessment: A Method for Accurately Predicting Biotherapeutic Dosing to Inform Early Drug Discovery Decisions. Frontiers in Pharmacology. 13. 864768–864768. 3 indexed citations

Presler, Marc, et al.. (2021). The intrinsically disordered protein SPE-18 promotes localized assembly of MSP in Caenorhabditis elegans spermatocytes. Development. 148(5). 8 indexed citations

Bajaj, Gaurav, Fereshteh Nazari, Marc Presler, et al.. (2021). 786 Dose selection for DuoBody®-PD-L1×4-1BB (GEN1046) using a semimechanistic pharmacokinetics/pharmacodynamics model that leverages preclinical and clinical data. SHILAP Revista de lepidopterología. A821–A821. 2 indexed citations

Presler, Marc, Alison Betts, Janice Villali, et al.. (2021). Quantitative modeling predicts competitive advantages of a next generation anti‐NKG2A monoclonal antibody over monalizumab for the treatment of cancer. CPT Pharmacometrics & Systems Pharmacology. 10(3). 220–229. 7 indexed citations

Gupta, Meera, Matthew Sonnett, Lillia V. Ryazanova, Marc Presler, & Martin Wühr. (2018). Quantitative Proteomics of Xenopus Embryos I, Sample Preparation. Methods in molecular biology. 1865. 175–194. 28 indexed citations

Presler, Marc, Elizabeth Van Itallie, Allon M. Klein, et al.. (2017). Proteomics of phosphorylation and protein dynamics during fertilization and meiotic exit in the Xenopus egg. Proceedings of the National Academy of Sciences. 114(50). E10838–E10847. 38 indexed citations

Wühr, Martin, Thomas Güttler, Leonid Peshkin, et al.. (2015). The Nuclear Proteome of a Vertebrate. Current Biology. 25(20). 2663–2671. 103 indexed citations

Wühr, Martin, Robert M. Freeman, Marc Presler, et al.. (2014). Deep Proteomics of the Xenopus laevis Egg using an mRNA-Derived Reference Database. Current Biology. 24(13). 1467–1475. 195 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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