Martin Schönlein

2.4k total citations
9 papers, 79 citations indexed

About

Martin Schönlein is a scholar working on Oncology, Hematology and Immunology. According to data from OpenAlex, Martin Schönlein has authored 9 papers receiving a total of 79 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Oncology, 4 papers in Hematology and 3 papers in Immunology. Recurrent topics in Martin Schönlein's work include Pancreatic and Hepatic Oncology Research (2 papers), Acute Myeloid Leukemia Research (2 papers) and SARS-CoV-2 and COVID-19 Research (2 papers). Martin Schönlein is often cited by papers focused on Pancreatic and Hepatic Oncology Research (2 papers), Acute Myeloid Leukemia Research (2 papers) and SARS-CoV-2 and COVID-19 Research (2 papers). Martin Schönlein collaborates with scholars based in Germany, Italy and Switzerland. Martin Schönlein's co-authors include Marianne Sinn, Maja Milanovic, J. Henry M. Däbritz, Mathias T. Rosenfeldt, Heiko Becher, Marc Lütgehetmann, Yong Yu, Lisa Leypoldt, Jan R. Dörr and Bernd Dörken and has published in prestigious journals such as Journal of Clinical Oncology, Blood and Clinical Chemistry.

In The Last Decade

Martin Schönlein

8 papers receiving 79 citations

Peers

Martin Schönlein

ONCOL

ID

MB

PHYSI

CR

Rene Welch United States

Ignacio Mazzitelli Argentina

Yaiza Senent Spain

Toshinori Moriguchi Japan

Axia Song United States

Marisa W. Welch United States

Drew Frase United States

Christopher Chang United States

Dorota Oszutowska–Mazurek Poland

Ian Prise United Kingdom

Rene Welch United States

Martin Schönlein

59 ×1.5

ONCOL

16 ×0.6

ID

37 ×1.6

MB

8 ×0.4

PHYSI

9 ×0.5

CR

Citations per year, relative to Martin Schönlein Martin Schönlein (= 1×) peers Rene Welch

Countries citing papers authored by Martin Schönlein

Since Specialization

Citations

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

Fields of papers citing papers by Martin Schönlein

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Martin Schönlein

This figure shows the co-authorship network connecting the top 25 collaborators of Martin Schönlein. A scholar is included among the top collaborators of Martin Schönlein 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 Schönlein. Martin Schönlein 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

1.

Fulgenzi, Claudia Angela Maria, Antonio D’Alessio, Hong Jae Chon, et al.. (2023). Neutrophil-to-lymphocyte ratio (NLR) and platelet-to-lymphocyte ratio (PLR) as prognostic biomarkers in unresectable hepatocellular carcinoma (HCC) treated with atezolizumab plus bevacizumab (atezo-bev).. Journal of Clinical Oncology. 41(4_suppl). 504–504. 1 indexed citations

2.

Nitschke, Christine, Walter Philipp, Anita Badbaran, et al.. (2023). Peripheral and Portal VenousKRASctDNA Detection as Independent Prognostic Markers of Early Tumor Recurrence in Pancreatic Ductal Adenocarcinoma. Clinical Chemistry. 69(3). 295–307. 17 indexed citations

3.

Schönlein, Martin, Marina Machado, Martin Kolditz, et al.. (2022). SARS-CoV-2 Infection In Patients With Mastocytosis: An EPICOVIDEHA Report. Journal of Investigational Allergology and Clinical Immunology. 33(3). 225–227.

4.

Nitschke, Christine, Leonie Konczalla, Yassine Belloum, et al.. (2022). Circulating tumor-macrophage fusion cells as stage independent, unfavourable, prognostic markers in Pancreatic Ductal Adenocarcinoma. European Journal of Surgical Oncology. 48(2). e131–e132. 2 indexed citations

5.

Schönlein, Martin, Marc Lütgehetmann, Julian Schulze zur Wiesch, et al.. (2021). Post-Vaccination Anti-SARS-CoV-2-Antibody Response in Patients with Multiple Myeloma Correlates with Low CD19+ B-Lymphocyte Count and Anti-CD38 Treatment. Cancers. 13(15). 3800–3800. 24 indexed citations

6.

Schönlein, Martin, Christian Wiessner, Heiko Becher, et al.. (2021). Lymphocytopenia and Anti-CD38 Directed Treatment Impact the Serological SARS-CoV-2 Response after Prime Boost Vaccination in Patients with Multiple Myeloma. Journal of Clinical Medicine. 10(23). 5499–5499. 5 indexed citations

7.

Gambacorta, Valentina, Stefano Beretta, Martin Schönlein, et al.. (2021). Therapy-Induced Senescence As an Anti-Cancer and Immune-Stimulatory Strategy. Blood. 138(Supplement 1). 4419–4419. 2 indexed citations

8.

Schönlein, Martin, J. Henry M. Däbritz, Dorothy Ngo-Yin Fan, et al.. (2017). Therapy‐Induced Senescence Is a Predictor of Treatment Outcome in Acute Myeloid Leukemia. Blood. 130. 1393–1393. 2 indexed citations

9.

Däbritz, J. Henry M., Yong Yu, Maja Milanovic, et al.. (2016). CD20-Targeting Immunotherapy Promotes Cellular Senescence in B-Cell Lymphoma. Molecular Cancer Therapeutics. 15(5). 1074–1081. 26 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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