Marion Ott

3.7k citations
69 papers · 918 · 1 hit paper · h-index 14

Impact in

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

Papers in

Marion Ott

62 papers receiving 853 citations

Marion Ott's Hit Papers

MDM2 inhibition: an important step forward in cancer therapy 2020 · 291 citations
2910+2+4Years since publication50100150200250

Peers

Marion Ott
Comparison fields: 5 of 114
  • Safety Research 94
  • Oncology 222
  • Management Science and Operations Research 89
  • Immunology 113
  • Hematology 45
Replace Mark M. Hammer with:
Mark M. Hammer United States
Andrew G. Miner United States
Yvonne Garbers Germany
Jay R. Campbell United States
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Gang Xue China
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Citations per field
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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 69 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 →
2020291
2 201165
3 202164
4 200743
5 200639
6 199838
7 201230
8 200728
9 199525
10 201225
11 201322
12 201521
13 201818
14 201718
15 201513
16 201511
17 201511
18 201110
19 20198
20 20148

About Marion Ott

Marion Ott is a scholar working on Sociology and Political Science, Management Science and Operations Research, General Health Professions, Safety Research and Immunology, having authored 69 papers that have together received 918 indexed citations. Recurring topics across this work include Sociology and Education Studies (17 papers), Auction Theory and Applications (9 papers), Experimental Behavioral Economics Studies (7 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (5 papers), Electric Power System Optimization (5 papers), German legal, social, and political studies (5 papers), Game Theory and Applications (4 papers) and Colorectal Cancer Treatments and Studies (4 papers). The work is most often cited by research in Safety Research (94 citations), Oncology (222 citations), Management Science and Operations Research (89 citations), Immunology (113 citations) and Hematology (45 citations). Marion Ott has collaborated with scholars based in Germany, Switzerland and United States. Frequent co-authors include Karl‐Martin Ehrhart, Marina Konopleva, Andrew H. Wei, Giovanni Martinelli, Naval Daver, John Mascarenhas, Brian Higgins, Cristina Papayannidis, Michael Andreeff and Antje Langer. Their work appears in journals such as Journal of Clinical Oncology, Blood, Games and Economic Behavior, Experimental Economics and Current Gene Therapy.

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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