Martin Lier

1.1k total citations · 1 hit paper
8 papers, 607 citations indexed

About

Martin Lier is a scholar working on Infectious Diseases, Animal Science and Zoology and Oncology. According to data from OpenAlex, Martin Lier has authored 8 papers receiving a total of 607 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Infectious Diseases, 3 papers in Animal Science and Zoology and 2 papers in Oncology. Recurrent topics in Martin Lier's work include SARS-CoV-2 and COVID-19 Research (6 papers), COVID-19 Clinical Research Studies (3 papers) and Animal Virus Infections Studies (3 papers). Martin Lier is often cited by papers focused on SARS-CoV-2 and COVID-19 Research (6 papers), COVID-19 Clinical Research Studies (3 papers) and Animal Virus Infections Studies (3 papers). Martin Lier collaborates with scholars based in Germany. Martin Lier's co-authors include Sebastian Schulz, Georg M. N. Behrens, Markus Hoffmann, Luise Graichen, Stefan Pöhlmann, Anne Cossmann, Hans‐Martin Jäck, Inga Nehlmeier, Martin Sebastian Winkler and Amy Kempf and has published in prestigious journals such as Cell, Cell Reports and Viruses.

In The Last Decade

Martin Lier

8 papers receiving 601 citations

Hit Papers

The Omicron variant is highly resistant against antibody-... 2021 2026 2022 2024 2021 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Martin Lier Germany 5 533 134 66 64 54 8 607
Bojan F. Hörnich Germany 5 606 1.1× 170 1.3× 75 1.1× 90 1.4× 45 0.8× 6 701
Alina Seidel Germany 8 679 1.3× 146 1.1× 78 1.2× 109 1.7× 46 0.9× 12 736
Pinkus Tober‐Lau Germany 11 429 0.8× 158 1.2× 72 1.1× 42 0.7× 56 1.0× 27 581
Yetian Dong China 4 366 0.7× 105 0.8× 62 0.9× 42 0.7× 44 0.8× 7 442
Yanhong Sun China 10 460 0.9× 128 1.0× 53 0.8× 45 0.7× 62 1.1× 25 664
Brent Oosthuysen South Africa 3 617 1.2× 173 1.3× 60 0.9× 103 1.6× 43 0.8× 4 678
James Logue United States 11 423 0.8× 94 0.7× 67 1.0× 32 0.5× 49 0.9× 21 554
Lin‐Lei Chen Hong Kong 10 418 0.8× 100 0.7× 50 0.8× 44 0.7× 44 0.8× 20 520
Takahiko Koyama United States 6 467 0.9× 172 1.3× 33 0.5× 80 1.3× 33 0.6× 14 583
Claire Carlin United States 11 701 1.3× 210 1.6× 59 0.9× 130 2.0× 44 0.8× 14 743

Countries citing papers authored by Martin Lier

Since Specialization
Citations

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

Fields of papers citing papers by Martin Lier

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Martin Lier

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

All Works

8 of 8 papers shown
2.
Sidarovich, Anzhalika, Nadine Krüger, Cheila Rocha, et al.. (2022). Host Cell Entry and Neutralization Sensitivity of SARS-CoV-2 Lineages B.1.620 and R.1. Viruses. 14(11). 2475–2475. 1 indexed citations
3.
Arora, Prerna, Amy Kempf, Inga Nehlmeier, et al.. (2022). SARS-CoV-2 variants C.1.2 and B.1.621 (Mu) partially evade neutralization by antibodies elicited upon infection or vaccination. Cell Reports. 39(5). 110754–110754. 4 indexed citations
4.
Arora, Prerna, Amy Kempf, Inga Nehlmeier, et al.. (2022). No evidence for increased cell entry or antibody evasion by Delta sublineage AY.4.2. Cellular and Molecular Immunology. 19(3). 449–452. 5 indexed citations
5.
Arora, Prerna, Cheila Rocha, Amy Kempf, et al.. (2021). The spike protein of SARS-CoV-2 variant A.30 is heavily mutated and evades vaccine-induced antibodies with high efficiency. Cellular and Molecular Immunology. 18(12). 2673–2675. 29 indexed citations
6.
Kunze-Szikszay, Nils, et al.. (2021). Vacuum mattress or long spine board: which method of spinal stabilisation in trauma patients is more time consuming? A simulation study. Scandinavian Journal of Trauma Resuscitation and Emergency Medicine. 29(1). 46–46. 7 indexed citations
7.
Lier, Martin, Stefan Nessler, Christine Stadelmann, et al.. (2021). High class filtering facepiece (FFP) are fundamental and effective in protection of emergency health care workers: an observational cohort study in a German community. Scandinavian Journal of Trauma Resuscitation and Emergency Medicine. 29(1). 155–155. 1 indexed citations
8.
Hoffmann, Markus, Nadine Krüger, Sebastian Schulz, et al.. (2021). The Omicron variant is highly resistant against antibody-mediated neutralization: Implications for control of the COVID-19 pandemic. Cell. 185(3). 447–456.e11. 557 indexed citations breakdown →

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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