Julia Slotta‐Huspenina

46.0k citations
110 papers · 4.0k indexed · 2 hit papers · h-index 33

Julia Slotta‐Huspenina

109 papers receiving 3.9k citations

Hit Papers

Direct identification of clinically relevant neoepitopes ...4692014202620182022200400600

Peers

Julia Slotta‐Huspenina
Comparison fields: 5 of 124
  • Oncology 1.6k
  • Cancer Research 688
  • Immunology 781
  • Pathology and Forensic Medicine 529
  • Gastroenterology 140
Replace Daniela Campani with:
Daniela Campani Italy
Emmanuelle Leteurtre France
Hiroaki Nozawa Japan
Zenya Naito Japan
Emily Chan United States
Farshid Dayyani United States
Winan J. van Houdt Netherlands
Hiroshi Uozaki Japan
Yutaka Suehiro Japan
George Theodoropoulos Greece
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Citations per field
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Citations per year

Countries citing papers authored by Julia Slotta‐Huspenina

Since Specialization
Citations

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

Fields of papers citing papers by Julia Slotta‐Huspenina

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20241
2 20246
3 202216
4 20223
5 20221
6 20221
7 202217
8 20211
9 202112
10 20204
11 202011
12 20192
13 201719
14 201645
15 201421
16 201232
17 201222
18 201124
19 201043
20 200710

About Julia Slotta‐Huspenina

Julia Slotta‐Huspenina is a scholar working on Gastroenterology, Oncology and Pathology and Forensic Medicine, having authored 110 papers that have together received 4.0k indexed citations. Recurring topics across this work include Gastric Cancer Management and Outcomes (21 papers), Esophageal Cancer Research and Treatment (19 papers), Genetic factors in colorectal cancer (13 papers), Pancreatic and Hepatic Oncology Research (8 papers), Gastrointestinal Tumor Research and Treatment (8 papers), Colorectal Cancer Treatments and Studies (8 papers), Lymphoma Diagnosis and Treatment (8 papers) and Cancer Immunotherapy and Biomarkers (7 papers). The work is most often cited by research in Oncology (1.6k citations), Cancer Research (688 citations) and Immunology (781 citations). Julia Slotta‐Huspenina has collaborated with scholars based in Germany, Switzerland and Austria. Frequent co-authors include Franz G. Bader, Rupert Langer, Ulrich Nitsche, Paul K. Ziegler, Florian R. Greten, Sarah Schwitalla, David Horst, Robert Rosenberg, Heiko Hermeking and René Jackstadt. Their work appears in journals such as Cancers, PLoS ONE, Oncotarget, The Journal of Pathology Clinical Research and Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin.

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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