Matthias Lang

1.9k total citations · 1 hit paper
16 papers, 1.3k citations indexed

About

Matthias Lang is a scholar working on Oncology, Surgery and Cancer Research. According to data from OpenAlex, Matthias Lang has authored 16 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Oncology, 6 papers in Surgery and 5 papers in Cancer Research. Recurrent topics in Matthias Lang's work include Peptidase Inhibition and Analysis (5 papers), Neuroendocrine Tumor Research Advances (4 papers) and Pancreatic and Hepatic Oncology Research (4 papers). Matthias Lang is often cited by papers focused on Peptidase Inhibition and Analysis (5 papers), Neuroendocrine Tumor Research Advances (4 papers) and Pancreatic and Hepatic Oncology Research (4 papers). Matthias Lang collaborates with scholars based in Germany, Switzerland and United States. Matthias Lang's co-authors include Manuel Röhrich, Hendrik Rathke, Clemens Kratochwil, Uwe Haberkorn, Frederik L. Giesel, Dirk Jäger, Jürgen Debus, H. Winter, Hans‐Ulrich Kauczor and Walter Mier and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Annals of Surgery and Gut.

In The Last Decade

Matthias Lang

13 papers receiving 1.3k citations

Hit Papers

68Ga-FAPI PET/CT: Tracer Uptake in 28 Different Kinds of ... 2019 2026 2021 2023 2019 250 500 750

Peers

Matthias Lang
Comparison fields: 5 of 64
  • Oncology 1.1k
  • Cancer Research 550
  • Surgery 527
  • Radiology, Nuclear Medicine and Imaging 330
  • Molecular Biology 174
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Yizhen Pang China
Ximin Shi China
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Jingxun Wu China
Aysegül Ilhan‐Mutlu Austria
Sebastian E. Serfling Germany
Mustafa Syed Germany
Weibing Miao China View profile →
Citations per field, relative to Matthias Lang
Matthias Lang · 1×
Citations per year, relative to Matthias Lang
Matthias Lang · 1×

Countries citing papers authored by Matthias Lang

Since Specialization
Citations

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

Fields of papers citing papers by Matthias Lang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthias Lang

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

All Works

16 of 16 papers shown
# Work Indexed citations
1 0
2 0
3 17
4 7
5 9
6 2
7 5
8 26
9 11
10 6
11 0
12 140
13
68Ga-FAPI PET/CT: Tracer Uptake in 28 Different Kinds of Cancer breakdown →
964
14 14
15 72
16 3

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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