Maren Knödler

898 total citations · 1 hit paper
19 papers, 535 citations indexed

About

Maren Knödler is a scholar working on Pulmonary and Respiratory Medicine, Oncology and Molecular Biology. According to data from OpenAlex, Maren Knödler has authored 19 papers receiving a total of 535 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Pulmonary and Respiratory Medicine, 10 papers in Oncology and 5 papers in Molecular Biology. Recurrent topics in Maren Knödler's work include Gastric Cancer Management and Outcomes (6 papers), Lung Cancer Treatments and Mutations (4 papers) and Colorectal Cancer Treatments and Studies (3 papers). Maren Knödler is often cited by papers focused on Gastric Cancer Management and Outcomes (6 papers), Lung Cancer Treatments and Mutations (4 papers) and Colorectal Cancer Treatments and Studies (3 papers). Maren Knödler collaborates with scholars based in Germany, United Kingdom and United States. Maren Knödler's co-authors include Ulrich Keilholz, Konrad Klinghammer, Florian Lordick, Ingeborg Tinhofer, Volker Budach, Alexander Schmittel, Dieter Beule, Max Schmidt, Mani Nassir and Manuela Benary and has published in prestigious journals such as Clinical Cancer Research, British Journal of Cancer and The Oncologist.

In The Last Decade

Maren Knödler

17 papers receiving 528 citations

Hit Papers

Leveraging Large Language... 2023 2026 2024 2023 40 80 120
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Leveraging Large Language Models for Decision Support in Personalized Oncology
    2023 139 citations Manuela Benary, Max Schmidt et al. JAMA Network Open profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Maren Knödler Germany 10 228 175 115 89 88 19 535
Sarah Jo Stephens United States 9 125 0.5× 109 0.6× 93 0.8× 67 0.8× 28 0.3× 29 387
Jim Zhong United Kingdom 13 71 0.3× 177 1.0× 65 0.6× 188 2.1× 17 0.2× 58 492
Calogero Casà Italy 16 456 2.0× 133 0.8× 46 0.4× 468 5.3× 13 0.1× 53 857
L.A. McGee United States 15 184 0.8× 350 2.0× 28 0.2× 189 2.1× 61 0.7× 74 736
Ashwin Shinde United States 13 111 0.5× 192 1.1× 68 0.6× 173 1.9× 4 0.0× 45 516
Tomoya Tago Japan 10 183 0.8× 88 0.5× 38 0.3× 33 0.4× 20 0.2× 45 341
E. Van Eycken Belgium 16 554 2.4× 193 1.1× 56 0.5× 56 0.6× 4 0.0× 39 837
Alexander Muckenhuber Germany 16 427 1.9× 146 0.8× 121 1.1× 119 1.3× 8 0.1× 33 695
Amy Chang China 15 292 1.3× 457 2.6× 75 0.7× 191 2.1× 10 0.1× 28 940
Elisa Meldolesi Italy 18 398 1.7× 359 2.1× 39 0.3× 432 4.9× 10 0.1× 46 1.0k

Countries citing papers authored by Maren Knödler

Since Specialization
Citations

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

Fields of papers citing papers by Maren Knödler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maren Knödler

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

All Works

19 of 19 papers shown
1.
2.
Habringer, Stefan, Jana Ihlow, Max Schmidt, et al.. (2024). A diagnostic challenge of KIT p.V559D and BRAF p.G469A mutations in a paragastric mass. The Oncologist. 29(10). 908–912.
3.
Kheifetz, Yuri, S Daum, Alexej Ballhausen, et al.. (2023). Individual hematotoxicity prediction of further chemotherapy cycles by dynamic mathematical models in patients with gastrointestinal tumors. Journal of Cancer Research and Clinical Oncology. 149(10). 6989–6998. 3 indexed citations
4.
Benary, Manuela, Max Schmidt, Dominik Soll, et al.. (2023). Leveraging Large Language Models for Decision Support in Personalized Oncology. JAMA Network Open. 6(11). e2343689–e2343689. 139 indexed citations breakdown →
5.
Gockel, Ines, Daniel Seehofer, Albrecht Hoffmeister, et al.. (2022). Guideline adherence and implementation of tumor board therapy recommendations for patients with gastrointestinal cancer. Journal of Cancer Research and Clinical Oncology. 149(3). 1231–1240. 9 indexed citations
6.
Pfrepper, Christian, et al.. (2021). Predictors for thromboembolism in patients with cholangiocarcinoma. Journal of Cancer Research and Clinical Oncology. 148(9). 2415–2426. 9 indexed citations
7.
8.
Pfrepper, Christian, Chiara Alessandra Cella, T. Siegemund, et al.. (2020). Evaluation of Biomarkers for the Prediction of Venous Thromboembolism in Ambulatory Cancer Patients. Oncology Research and Treatment. 43(9). 414–427. 17 indexed citations
9.
10.
Moritz, F., Thomas Kuhnt, Maryam Yahiaoui‐Doktor, et al.. (2019). The performance of three oncogeriatric screening tools - G8, optimised G8 and CARG - in predicting chemotherapy-related toxicity in older patients with cancer. A prospective clinical study. Journal of Geriatric Oncology. 10(6). 937–943. 18 indexed citations
11.
Knödler, Maren, Volker Kunzmann, Jörg Trojan, et al.. (2018). Randomised phase II trial to investigate catumaxomab (anti-EpCAM × anti-CD3) for treatment of peritoneal carcinomatosis in patients with gastric cancer. British Journal of Cancer. 119(3). 296–302. 66 indexed citations
12.
Pfirrmann, Daniel, Perikles Simon, Matthias Mehdorn, et al.. (2018). Präkonditionierung vor viszeralonkologischen Operationen. Der Chirurg. 89(11). 896–902. 4 indexed citations
13.
Piegeler, Tobias, Sebastian N. Stehr, Daniel Pfirrmann, et al.. (2018). Spezialsituationen der Präkonditionierung und Prähabilitation in der onkologischen Viszeralchirurgie. Der Chirurg. 89(11). 903–908. 2 indexed citations
14.
Dietz, Andreas, Markus Loeffler, Maciej Rosołowski, et al.. (2015). Genexpressionsanalysen und ihr möglicher klinischer Nutzen in der Betrachtung der Kopf-Hals-Karzinome. HNO. 63(11). 773–785. 2 indexed citations
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16.
Lordick, Florian, Maren Knödler, Ulrich Hacker, & M. Bartels. (2013). Neoadjuvante Chemotherapie oder primäre Chirurgie bei kolorektalen Lebermetastasen. Der Chirurg. 85(1). 11–16. 2 indexed citations
17.
Tinhofer, Ingeborg, Konrad Klinghammer, Wilko Weichert, et al.. (2011). Expression of Amphiregulin and EGFRvIII Affect Outcome of Patients with Squamous Cell Carcinoma of the Head and Neck Receiving Cetuximab–Docetaxel Treatment. Clinical Cancer Research. 17(15). 5197–5204. 76 indexed citations
18.
Klinghammer, Konrad, Maren Knödler, Alexander Schmittel, et al.. (2009). Association of Epidermal Growth Factor Receptor Polymorphism, Skin Toxicity, and Outcome in Patients with Squamous Cell Carcinoma of the Head and Neck Receiving Cetuximab-Docetaxel Treatment. Clinical Cancer Research. 16(1). 304–310. 54 indexed citations
19.
Schmittel, Alexander, et al.. (2006). Phase II trial of second-line bendamustine chemotherapy in relapsed small cell lung cancer patients. Lung Cancer. 55(1). 109–113. 43 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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