Maike Reith

609 total citations
6 papers, 444 citations indexed

About

Maike Reith is a scholar working on Molecular Biology, Immunology and Oncology. According to data from OpenAlex, Maike Reith has authored 6 papers receiving a total of 444 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 3 papers in Immunology and 1 paper in Oncology. Recurrent topics in Maike Reith's work include S100 Proteins and Annexins (3 papers), Pluripotent Stem Cells Research (2 papers) and CRISPR and Genetic Engineering (2 papers). Maike Reith is often cited by papers focused on S100 Proteins and Annexins (3 papers), Pluripotent Stem Cells Research (2 papers) and CRISPR and Genetic Engineering (2 papers). Maike Reith collaborates with scholars based in Germany and Switzerland. Maike Reith's co-authors include Christoffer Gebhardt, Jochen Utikal, Ramtin Lichtenberger, Viktor Umansky, Tim Holland‐Letz, Kathrin Tarnanidis, Dirk Schadendorf, Antje Sucker, Alexandra Sevko and Philipp Beckhove and has published in prestigious journals such as Journal of Clinical Oncology, Clinical Cancer Research and International Journal of Cancer.

In The Last Decade

Maike Reith

6 papers receiving 442 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Maike Reith Germany	5	268	258	161	44	36	6	444
Kathrin Tarnanidis Germany	3	252 0.9×	253 1.0×	109 0.7×	44 1.0×	32 0.9×	4	388
Da Qian China	9	73 0.3×	168 0.7×	166 1.0×	50 1.1×	78 2.2×	36	366
Lijuan Shao China	12	144 0.5×	218 0.8×	183 1.1×	34 0.8×	87 2.4×	28	438
Yingying Sun China	10	141 0.5×	195 0.8×	124 0.8×	32 0.7×	52 1.4×	17	341
Jianpei Liu China	10	206 0.8×	108 0.4×	90 0.6×	65 1.5×	40 1.1×	20	346
Emily Penman United States	5	141 0.5×	263 1.0×	98 0.6×	40 0.9×	54 1.5×	8	366
Kunpeng Lv China	14	271 1.0×	274 1.1×	142 0.9×	109 2.5×	88 2.4×	19	484
Kaname Oka Japan	6	346 1.3×	324 1.3×	106 0.7×	31 0.7×	32 0.9×	10	483
Johan Forssell Sweden	5	327 1.2×	388 1.5×	150 0.9×	36 0.8×	66 1.8×	6	560
Christopher McQuinn United States	3	337 1.3×	187 0.7×	106 0.7×	33 0.8×	62 1.7×	6	439

Countries citing papers authored by Maike Reith

Since Specialization

Citations

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

Fields of papers citing papers by Maike Reith

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maike Reith

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

All Works

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6 of 6 papers shown

1.

Wagner, Nikolaus B., Benjamin Weide, Maike Reith, et al.. (2019). Tumor microenvironment-derived S100A8/A9 is a novel prognostic biomarker for advanced melanoma patients and during immunotherapy with anti-PD-1 antibodies. Journal for ImmunoTherapy of Cancer. 7(1). 343–343. 67 indexed citations

2.

Novak, Daniel, Yassen Assenov, Elias Orouji, et al.. (2017). Melanoma-Derived iPCCs Show Differential Tumorigenicity and Therapy Response. Stem Cell Reports. 8(5). 1379–1391. 32 indexed citations

3.

Novak, Daniel, Kasia Weina, Maike Reith, et al.. (2016). Directed Dedifferentiation Using Partial Reprogramming Induces Invasive Phenotype in Melanoma Cells. Stem Cells. 34(4). 832–846. 24 indexed citations

4.

Gebhardt, Christoffer, Alexandra Sevko, Huanhuan Jiang, et al.. (2015). Myeloid Cells and Related Chronic Inflammatory Factors as Novel Predictive Markers in Melanoma Treatment with Ipilimumab. Clinical Cancer Research. 21(24). 5453–5459. 290 indexed citations

5.

Wagner, Nikolaus B., Benjamin Weide, Maike Reith, et al.. (2015). Diminished levels of the soluble form of RAGE are related to poor survival in malignant melanoma. International Journal of Cancer. 137(11). 2607–2617. 29 indexed citations

6.

Gebhardt, Christoffer, Nikolaus B. Wagner, Benjamin Weide, et al.. (2014). RAGE ligand S100A8/A9 as a novel prognostic biomarker for high-risk melanoma patients.. Journal of Clinical Oncology. 32(15_suppl). 9070–9070. 2 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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