Mark Sawicki

1.5k citations
42 papers · 1.1k indexed · h-index 17
  • Oncology top 5%
    • Pancreatic and Hepatic Oncology Research 10
    • Cancer-related Molecular Pathways 6
    • Lung Cancer Research Studies 5
  • Neurology top 5%
    • Neuroblastoma Research and Treatments 5
    • Neuroendocrine Tumor Research Advances 20
    • Cancer Genomics and Diagnostics 3
    • Genomics and Rare Diseases 2
    • CRISPR and Genetic Engineering 3

Mark Sawicki

41 papers receiving 1.1k citations

Peers

Mark Sawicki
Comparison fields: 5 of 104
  • Oncology 501
  • Neurology 266
  • Epidemiology 496
  • Cancer Research 105
  • Genetics 153
Replace M. Manzoni with:
M. Manzoni Italy
Monica Ter‐Minassian United States
Colin E. Champ United States
Natalie Prinzi Italy
Jihao Zhou United States
Frank Schuppert Germany
Kazuki Takakura Japan
Robert Rzepko Poland
R J Davies United Kingdom
Armando Patrizio Italy
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Citations per field
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M. Manzoni · 1×
Citations per year

Countries citing papers authored by Mark Sawicki

Since Specialization
Citations

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

Fields of papers citing papers by Mark Sawicki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20192
2 200850
3 200614
4 200217
5 200177
6 200122
7 19994
8 199833
9 199865
10 19977
11 199614
12 199510
13 199447
14 199313
15 19933
16 19939
17 19924
18 199243
19 199215
20 19908

About Mark Sawicki

Mark Sawicki is a scholar working on Oncology, Epidemiology, Neurology, Surgery and Pathology and Forensic Medicine, having authored 42 papers that have together received 1.1k indexed citations. Recurring topics across this work include Neuroendocrine Tumor Research Advances (20 papers), Pancreatic and Hepatic Oncology Research (10 papers), Cancer-related Molecular Pathways (6 papers), Neuroblastoma Research and Treatments (5 papers), Lung Cancer Research Studies (5 papers), CRISPR and Genetic Engineering (3 papers), Cancer Genomics and Diagnostics (3 papers) and Genomics and Rare Diseases (2 papers). The work is most often cited by research in Oncology (501 citations), Neurology (266 citations), Epidemiology (496 citations), Cancer Research (105 citations) and Genetics (153 citations). Mark Sawicki has collaborated with scholars based in United States, Japan and Poland. Frequent co-authors include Edward Passaro, Ghassan Samara, Michael Hurwitz, Sergio Huerta, Edward H. Livingston, Richard A. Gatti, Albert Y. Wu, James R. Arteaga, Carol Kashefi and Edward H. M. Wang. Their work appears in journals such as The American Journal of Surgery, Journal of Surgical Research, Genes Chromosomes and Cancer, Genomics and The American Surgeon.

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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