Jan Diekmann

7.5k total citations · 2 hit papers
12 papers, 1.8k citations indexed

About

Jan Diekmann is a scholar working on Immunology, Molecular Biology and Oncology. According to data from OpenAlex, Jan Diekmann has authored 12 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Immunology, 7 papers in Molecular Biology and 4 papers in Oncology. Recurrent topics in Jan Diekmann's work include Immunotherapy and Immune Responses (9 papers), vaccines and immunoinformatics approaches (5 papers) and Immune Cell Function and Interaction (3 papers). Jan Diekmann is often cited by papers focused on Immunotherapy and Immune Responses (9 papers), vaccines and immunoinformatics approaches (5 papers) and Immune Cell Function and Interaction (3 papers). Jan Diekmann collaborates with scholars based in Germany, United States and United Kingdom. Jan Diekmann's co-authors include Uğur Şahin, Özlem Türeci, Sebastian Kreiter, Christoph Huber, Mustafa Diken, Sebastian Boegel, Martin Löwer, Niels van de Roemer, Fulvia Vascotto and John C. Castle and has published in prestigious journals such as Nature, The Journal of Immunology and Cancer Research.

In The Last Decade

Jan Diekmann

12 papers receiving 1.8k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Mutant MHC class II epitopes drive therapeutic immune responses to cancer

2015 915 citations Sebastian Kreiter, Mathias Vormehr et al. Nature profile →
Exploiting the Mutanome for Tumor Vaccination

2012 617 citations John C. Castle, Sebastian Kreiter et al. Cancer Research profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jan Diekmann Germany	10	1.4k	1.1k	717	177	131	12	1.8k
Niels van de Roemer Germany	3	1.3k 0.9×	1.0k 0.9×	597 0.8×	167 0.9×	103 0.8×	7	1.5k
Marit M. van Buuren Netherlands	12	1.7k 1.2×	1.7k 1.5×	680 0.9×	217 1.2×	104 0.8×	17	2.2k
Willemijn Hobo Netherlands	26	1.5k 1.0×	1.3k 1.2×	520 0.7×	138 0.8×	79 0.6×	50	2.2k
Cleo Goyvaerts Belgium	23	821 0.6×	648 0.6×	646 0.9×	269 1.5×	175 1.3×	48	1.4k
Angela M. Krackhardt Germany	23	965 0.7×	965 0.9×	769 1.1×	252 1.4×	211 1.6×	58	1.8k
Carsten Linnemann Netherlands	17	1.8k 1.3×	1.7k 1.5×	736 1.0×	186 1.1×	316 2.4×	21	2.5k
Eva Lion Belgium	29	1.9k 1.3×	1.3k 1.2×	731 1.0×	198 1.1×	174 1.3×	64	2.6k
Gustav Ullenhag Sweden	24	837 0.6×	1.1k 1.0×	633 0.9×	149 0.8×	291 2.2×	97	1.8k
Elixabet Bolaños Spain	19	972 0.7×	887 0.8×	290 0.4×	80 0.5×	146 1.1×	33	1.4k
Lukasz K. Chlewicki United States	10	1.3k 0.9×	987 0.9×	315 0.4×	205 1.2×	73 0.6×	15	1.7k

Countries citing papers authored by Jan Diekmann

Since Specialization

Citations

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

Fields of papers citing papers by Jan Diekmann

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jan Diekmann

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

All Works

Sort: Min cites: Since: Top N: Style:

12 of 12 papers shown

1.

Rohde, Cynthia M., Claudia Lindemann, Rani S. Sellers, et al.. (2023). Toxicological Assessments of a Pandemic COVID-19 Vaccine—Demonstrating the Suitability of a Platform Approach for mRNA Vaccines. Vaccines. 11(2). 417–417. 17 indexed citations

2.

Bähr-Mahmud, Hayat, Christiane Stadler, Claudia Lindemann, et al.. (2023). Preclinical characterization of an mRNA-encoded anti-Claudin 18.2 antibody. OncoImmunology. 12(1). 2255041–2255041. 16 indexed citations

3.

Bowman, Christopher, Sarah N. Campion, Gregg D. Cappon, et al.. (2021). Lack of effects on female fertility and prenatal and postnatal offspring development in rats with BNT162b2, a mRNA-based COVID-19 vaccine. Reproductive Toxicology. 103. 28–35. 55 indexed citations

4.

Vormehr, Mathias, Sebastian Kreiter, Niels van de Roemer, et al.. (2016). Abstract A110: Mutant MHC class II epitopes drive therapeutic immune responses to cancer. Cancer Immunology Research. 4(1_Supplement). A110–A110. 1 indexed citations

5.

Kreiter, Sebastian, Mathias Vormehr, Niels van de Roemer, et al.. (2015). Mutant MHC class II epitopes drive therapeutic immune responses to cancer. Nature. 520(7549). 692–696. 915 indexed citations breakdown →

6.

Boisguérin, Valesca, John C. Castle, Martin Löewer, et al.. (2014). Translation of genomics-guided RNA-based personalised cancer vaccines: towards the bedside. British Journal of Cancer. 111(8). 1469–1475. 31 indexed citations

7.

Diken, Mustafa, Sebastian Kreiter, Fulvia Vascotto, et al.. (2013). mTOR Inhibition Improves Antitumor Effects of Vaccination with Antigen-Encoding RNA. Cancer Immunology Research. 1(6). 386–392. 39 indexed citations

8.

Castle, John C., Sebastian Kreiter, Jan Diekmann, et al.. (2012). Exploiting the Mutanome for Tumor Vaccination. Cancer Research. 72(5). 1081–1091. 617 indexed citations breakdown →

9.

Kreiter, Sebastian, Jan Diekmann, Martin Löwer, et al.. (2012). P2.06 Exploiting The Mutanome for Tumor Vaccination. Annals of Oncology. 23. v24–v24. 1 indexed citations

10.

Kreiter, Sebastian, Mustafa Diken, Abderraouf Selmi, et al.. (2011). FLT3 Ligand Enhances the Cancer Therapeutic Potency of Naked RNA Vaccines. Cancer Research. 71(19). 6132–6142. 62 indexed citations

11.

Diekmann, Jan, Eleni Adamopoulou, Olaf Beck, et al.. (2009). Processing of Two Latent Membrane Protein 1 MHC Class I Epitopes Requires Tripeptidyl Peptidase II Involvement. The Journal of Immunology. 183(3). 1587–1597. 15 indexed citations

12.

Adamopoulou, Eleni, Jan Diekmann, Eva Tolosa, et al.. (2007). Human CD4+ T Cells Displaying Viral Epitopes Elicit a Functional Virus-Specific Memory CD8+ T Cell Response. The Journal of Immunology. 178(9). 5465–5472. 20 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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