J. Maas

444 total citations
5 papers, 209 citations indexed

About

J. Maas is a scholar working on Cancer Research, Oncology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, J. Maas has authored 5 papers receiving a total of 209 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Cancer Research, 3 papers in Oncology and 1 paper in Pulmonary and Respiratory Medicine. Recurrent topics in J. Maas's work include Cancer Genomics and Diagnostics (5 papers), Cancer Immunotherapy and Biomarkers (3 papers) and Radiomics and Machine Learning in Medical Imaging (1 paper). J. Maas is often cited by papers focused on Cancer Genomics and Diagnostics (5 papers), Cancer Immunotherapy and Biomarkers (3 papers) and Radiomics and Machine Learning in Medical Imaging (1 paper). J. Maas collaborates with scholars based in Switzerland, Germany and Italy. J. Maas's co-authors include Albrecht Stenzinger, Jeffrey D. Allen, Manfred Dietel, Diana M. Merino, Mark Stewart, Thomas Pilz, Zandra C. Deans, Raed Al Dieri, Antonio Martı́nez and Victoria Williams and has published in prestigious journals such as Annals of Oncology, European Journal of Cancer and Genes Chromosomes and Cancer.

In The Last Decade

J. Maas

5 papers receiving 207 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
J. Maas Switzerland	4	126	123	98	43	31	5	209
Kaitlyn R. Antonelli United States	7	225 1.8×	140 1.1×	137 1.4×	71 1.7×	30 1.0×	10	309
Andrew L. Rygiel United States	8	251 2.0×	159 1.3×	151 1.5×	82 1.9×	32 1.0×	12	332
Paz J. Vellanki United States	7	160 1.3×	54 0.4×	115 1.2×	57 1.3×	41 1.3×	13	254
Katharine Cuff Australia	8	116 0.9×	64 0.5×	134 1.4×	69 1.6×	23 0.7×	27	247
Tamara Snow United States	5	130 1.0×	117 1.0×	119 1.2×	50 1.2×	13 0.4×	11	252
Zora Baretta Italy	9	155 1.2×	118 1.0×	73 0.7×	88 2.0×	12 0.4×	14	337
Scott Barker United States	6	155 1.2×	72 0.6×	175 1.8×	57 1.3×	11 0.4×	19	259
Tobias Lekberg Sweden	9	150 1.2×	138 1.1×	45 0.5×	39 0.9×	27 0.9×	12	270
Katherine Lane Australia	4	193 1.5×	101 0.8×	68 0.7×	59 1.4×	61 2.0×	8	311
Matthew Labriola United States	6	137 1.1×	82 0.7×	159 1.6×	72 1.7×	15 0.5×	23	238

Countries citing papers authored by J. Maas

Since Specialization

Citations

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

Fields of papers citing papers by J. Maas

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J. Maas

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

All Works

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5 of 5 papers shown

1.

Normanno, Nicola, Kathi Apostolidis, Audrey B. Wolf, et al.. (2022). Access and quality of biomarker testing for precision oncology in Europe. European Journal of Cancer. 176. 70–77. 39 indexed citations

2.

Normanno, Nicola, Kathi Apostolidis, Raed Al Dieri, et al.. (2021). 1505MO Improving cancer care through broader access to quality biomarker testing: An IQN Path, ECPC and EFPIA initiative. Annals of Oncology. 32. S1103–S1104. 2 indexed citations

3.

Stenzinger, Albrecht, Jeffrey D. Allen, J. Maas, et al.. (2019). Tumor mutational burden standardization initiatives: Recommendations for consistent tumor mutational burden assessment in clinical samples to guide immunotherapy treatment decisions. Genes Chromosomes and Cancer. 58(8). 578–588. 161 indexed citations

4.

Stenzinger, Albrecht, Volker Endris, Jan Budczies, et al.. (2019). Harmonization and standardization of panel-based tumour mutational burden (TMB) measurement: Real-world results and recommendations of the QuIP study. Annals of Oncology. 30. xi1–xi1. 4 indexed citations

5.

Stenzinger, Albrecht, Jeffrey D. Allen, J. Maas, et al.. (2018). Tumor mutational burden (TMB) standardization initiative: Establishing a consistent methodology for TMB measurement in clinical samples. Annals of Oncology. 29. viii45–viii45. 3 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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