Marion Ott

3.6k citations
48 papers · 707 · 1 hit paper · h-index 12

Impact in

    • Experimental Behavioral Economics Studies
  • Oncology top 10%
    • Cancer-related Molecular Pathways
    • CAR-T cell therapy research

Papers in

Marion Ott

39 papers receiving 680 citations

Hit Papers

MDM2 inhibition: an important step forward in cancer therapy 2020 · 276 citations
2760+2+4Years since publication50100150200250

Peers

Marion Ott
Comparison fields: 5 of 104
  • Safety Research 88
  • Oncology 235
  • Management Science and Operations Research 83
  • Immunology 106
  • General Decision Sciences 8
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Marion Ott relative to Jennifer Harvey United States Jennifer Harvey's profile →
Citations per field
00.5×6.4×
Jennifer Harvey · 1×
Citations per year

Countries citing papers authored by Marion Ott

Since Specialization
Citations

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

Fields of papers citing papers by Marion Ott

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Marion Ott, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Marion Ott Line = papers co-authored together Marion Ott links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1
MDM2 inhibition: an important step forward in cancer therapy
Hit paper breakdown →
2020276
2 201163
3 202156
4 199838
5 200637
6 200734
7 200726
8 199524
9 201322
10 201818
11 201717
12 201513
13 201211
14 201510
15 20119
16 20197
17
Incentives for Overbidding in Minimum-Revenue Core-Selecting Auctions
20135
18 20094
19 20044
20
The Performance of Core-Selecting Auctions: An Experiment
20183

About Marion Ott

Marion Ott is a scholar working on Management Science and Operations Research, Sociology and Political Science, Oncology, Immunology and Safety Research, having authored 48 papers that have together received 707 indexed citations. Recurring topics across this work include Auction Theory and Applications (9 papers), Experimental Behavioral Economics Studies (7 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (5 papers), Sociology and Education Studies (5 papers), Electric Power System Optimization (5 papers), Consumer Market Behavior and Pricing (4 papers), Colorectal Cancer Treatments and Studies (4 papers) and Game Theory and Applications (4 papers). The work is most often cited by research in Safety Research (88 citations), Oncology (235 citations), Management Science and Operations Research (83 citations), Immunology (106 citations) and General Decision Sciences (8 citations). Marion Ott has collaborated with scholars based in Germany, Switzerland and United States. Frequent co-authors include Karl‐Martin Ehrhart, Marina Konopleva, Cristina Papayannidis, John Mascarenhas, Michael Andreeff, Naval Daver, Andrew H. Wei, Giovanni Martinelli, Brian Higgins and Siegfried K. Berninghaus. Their work appears in journals such as Journal of Clinical Oncology, Blood, Games and Economic Behavior, Human Gene Therapy and PLoS ONE.

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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