Mark Kriegsmann

6.0k citations
181 papers · 3.0k indexed · h-index 32

Impact in

    • Mass Spectrometry Techniques and Applications
    • Advanced Proteomics Techniques and Applications
    • Cancer Genomics and Diagnostics

Papers in

Mark Kriegsmann

170 papers receiving 3.0k citations

Peers

Mark Kriegsmann
Comparison fields: 5 of 118
  • Spectroscopy 779
  • Cancer Research 529
  • Oncology 938
  • Molecular Biology 1.3k
  • Immunology 360
Replace Jörg Kriegsmann with:
Jörg Kriegsmann Germany
Wilma E. Mesker Netherlands
J. Alex United States
Horst Zitzelsberger Germany
Fabio Pagni Italy
Patricia Harnden United Kingdom
Valerie Calvert United States
Kazufumi Honda Japan
Peter Riegman Netherlands
Dinesh Rakheja United States
Mark Kriegsmann relative to Jörg Kriegsmann Germany Jörg Kriegsmann's profile →
Citations per field
00.5×2.7×
Jörg Kriegsmann · 1×
Citations per year

Countries citing papers authored by Mark Kriegsmann

Since Specialization
Citations

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

Fields of papers citing papers by Mark Kriegsmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 181 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014127
2 2014115
3 202079
4 201676
5 201569
6 201867
7 201463
8 202161
9 201661
10 201960
11 201857
12 201654
13 201853
14 202052
15 201451
16 202145
17 201544
18 202143
19 202142
20 201542

About Mark Kriegsmann

Mark Kriegsmann is a scholar working on Cancer Research, Oncology, Pulmonary and Respiratory Medicine, Spectroscopy and Hematology, having authored 181 papers that have together received 3.0k indexed citations. Recurring topics across this work include Lung Cancer Treatments and Mutations (34 papers), Advanced Proteomics Techniques and Applications (26 papers), Mass Spectrometry Techniques and Applications (25 papers), Molecular Biology Techniques and Applications (22 papers), Cancer Genomics and Diagnostics (21 papers), Lung Cancer Research Studies (16 papers), Lung Cancer Diagnosis and Treatment (16 papers) and Medical Imaging and Pathology Studies (10 papers). The work is most often cited by research in Spectroscopy (779 citations), Cancer Research (529 citations), Oncology (938 citations), Molecular Biology (1.3k citations) and Immunology (360 citations). Mark Kriegsmann has collaborated with scholars based in Germany, United States and Austria. Frequent co-authors include Jörg Kriegsmann, Rita Casadonte, Katharina Kriegsmann, Wilko Weichert, Rémi Longuespée, Albrecht Stenzinger, Thomas Muley, Arne Warth, Kristina Schwamborn and Daniel Kazdal. Their work appears in journals such as Cancers, PROTEOMICS - CLINICAL APPLICATIONS, International Journal of Molecular Sciences, European Journal Of Haematology and Frontiers in Oncology.

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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