Julia Kitz

1.9k citations
52 papers · 1.2k · h-index 22

Impact in

  • Oncology top 5%
    • Colorectal Cancer Surgical Treatments
    • Colorectal Cancer Treatments and Studies
    • Cancer Cells and Metastasis
    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research

Papers in

    • Colorectal Cancer Surgical Treatments 9
    • Cancer Cells and Metastasis 5
    • Colorectal Cancer Treatments and Studies 4

Julia Kitz

51 papers receiving 1.2k citations

Peers

Julia Kitz
Comparison fields: 5 of 79
  • Oncology 477
  • Cancer Research 251
  • Otorhinolaryngology 62
  • Gastroenterology 74
  • Pulmonary and Respiratory Medicine 200
Replace Akira Ooki with:
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Mirjam F. Mastik Netherlands
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Motokazu Suyama Japan
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Hee-Jin Jang United States
Julia Kitz relative to Akira Ooki Japan Akira Ooki's profile →
Citations per field
00.5×1.5×2.4×
Akira Ooki · 1×
Citations per year

Countries citing papers authored by Julia Kitz

Since Specialization
Citations

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

Fields of papers citing papers by Julia Kitz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Julia Kitz, 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 Julia Kitz Line = papers co-authored together Julia Kitz links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013108
2 201075
3 201470
4 201361
5 201360
6 201952
7 201950
8 201249
9 201845
10
Long-term survival is linked to serum LDH and partly to tumour LDH-5 in NSCLC.
201039
11 201138
12 201135
13 202033
14 201231
15 201029
16 201829
17 201327
18 201926
19 201926
20 202123

About Julia Kitz

Julia Kitz is a scholar working on Oncology, Molecular Biology, Cancer Research, Surgery and Pathology and Forensic Medicine, having authored 52 papers that have together received 1.2k indexed citations. Recurring topics across this work include Colorectal Cancer Surgical Treatments (9 papers), Head and Neck Cancer Studies (6 papers), Genetic factors in colorectal cancer (6 papers), Cancer Cells and Metastasis (5 papers), Colorectal Cancer Treatments and Studies (4 papers), Gastrointestinal Tumor Research and Treatment (3 papers), MicroRNA in disease regulation (3 papers) and Gastric Cancer Management and Outcomes (3 papers). The work is most often cited by research in Oncology (477 citations), Cancer Research (251 citations), Otorhinolaryngology (62 citations), Gastroenterology (74 citations) and Pulmonary and Respiratory Medicine (200 citations). Julia Kitz has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include Hendrik A. Wolff, Jochen Gaedcke, Tim Beißbarth, Marian Grade, Michael Ghadimi, Martin Canis, Mark Jakob, Margret Rave‐Fränk, Lena‐Christin Conradi and L. Füzesi. Their work appears in journals such as Oncotarget, The American Journal of Surgical Pathology, Scientific Reports, Strahlentherapie und Onkologie and Cancers.

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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