Marc C. Schubert

60 total papers · 931 total citations
7 papers, 74 citations indexed

About

Marc C. Schubert is a scholar working on General Health Professions, Health Informatics and Artificial Intelligence. According to data from OpenAlex, Marc C. Schubert has authored 7 papers receiving a total of 74 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in General Health Professions, 2 papers in Health Informatics and 2 papers in Artificial Intelligence. Recurrent topics in Marc C. Schubert's work include Neuroinflammation and Neurodegeneration Mechanisms (2 papers), Artificial Intelligence in Healthcare and Education (2 papers) and Topic Modeling (1 paper). Marc C. Schubert is often cited by papers focused on Neuroinflammation and Neurodegeneration Mechanisms (2 papers), Artificial Intelligence in Healthcare and Education (2 papers) and Topic Modeling (1 paper). Marc C. Schubert collaborates with scholars based in Germany, United States and Netherlands. Marc C. Schubert's co-authors include Varun Venkataramani, Wolfgang Wick, Thomas Kuner, Yvonne Yang, Frank Winkler, Dirk Schadendorf, Ekin Reyhan, Rebekka Wehner, Wolfgang Wick and Anna S. Berghoff and has published in prestigious journals such as Immunity, Psycho-Oncology and Neuro-Oncology.

In The Last Decade

Marc C. Schubert

4 papers receiving 72 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Marc C. Schubert	30	22	16	12	12	7	74
T. Salameh	8 0.3×	23 1.0×	12 0.8×	89 7.4×	25 2.1×	5	215
Johann S. Hawe	11 0.4×	14 0.6×	9 0.6×	117 9.8×	15 1.3×	8	220
Suraj Pai	22 0.7×	37 1.7×	58 3.6×	5 0.4×	1 0.1×	7	111
Wadea Tarhuni	7 0.2×	3 0.1×	21 1.3×	66 5.5×	11 0.9×	7	232
Chandrakanth Jayachandran Preetha	7 0.2×	11 0.5×	40 2.5×	2 0.2×	1 0.1×	5	54
Gabriel Cerono	10 0.3×	31 1.4×	8 0.5×	22 1.8×		8	65
Ehud Karavani	35 1.2×	104 4.7×	87 5.4×	44 3.7×	4 0.3×	7	227
Candice P. Chu	6 0.2×	5 0.2×	3 0.2×	39 3.3×	2 0.2×	7	62
Zefu Chen	2 0.1×	16 0.7×	15 0.9×	21 1.8×	3 0.3×	10	63
Jackie Wu	4 0.1×	11 0.5×	56 3.5×	7 0.6×	2 0.2×	6	216

Countries citing papers authored by Marc C. Schubert

Since Specialization

Citations

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

Fields of papers citing papers by Marc C. Schubert

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marc C. Schubert. 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 Marc C. Schubert. The network helps show where Marc C. Schubert may publish in the future.

Co-authorship network of co-authors of Marc C. Schubert

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

All Works

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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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