Melanie Schmidt

73 papers receiving 1.6k citations

Peers

Melanie Schmidt
Comparison fields: 5 of 166
  • Cancer Research 239
  • Biochemistry 83
  • Endocrine and Autonomic Systems 83
  • Physiology 289
  • Aging 17
Replace Xun Shen with:
Xun Shen China
Jianxun Liu China
Myungsuk Kim South Korea
Jialin Wang China
Yin Kang United States
Ying Xiao China
Huirong Liu China
Nannan Zhang China
Jianhua Ma China
Limin Han China
Melanie Schmidt relative to Xun Shen China Xun Shen's profile →
Citations per field
00.5×2.6×
Xun Shen · 1×
Citations per year

Countries citing papers authored by Melanie Schmidt

Since Specialization
Citations

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

Fields of papers citing papers by Melanie Schmidt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 78 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011208
2 2006169
3 2004129
4 200881
5 200581
6 201673
7 200970
8 200561
9 202060
10 200952
11 200838
12
Expression of VEGFR-1 (Flt-1) in breast cancer is associated with VEGF expression and with node-negative tumour stage.
200836
13 201334
14 200832
15 202031
16
The clinicopathological and prognostic relevance of pyruvate kinase M2 and pAkt expression in breast cancer.
201030
17
Expression of transketolase-like 1 protein (TKTL1) in human endometrial cancer.
201029
18 201027
19 201026
20 197725

About Melanie Schmidt

Melanie Schmidt is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Molecular Biology, Signal Processing and Physiology, having authored 78 papers that have together received 1.7k indexed citations. Recurring topics across this work include Data Management and Algorithms (9 papers), Complexity and Algorithms in Graphs (7 papers), Advanced Clustering Algorithms Research (5 papers), Neuroscience of respiration and sleep (4 papers), Nitric Oxide and Endothelin Effects (4 papers), Electrolyte and hormonal disorders (4 papers), Anesthesia and Sedative Agents (4 papers) and Facility Location and Emergency Management (3 papers). The work is most often cited by research in Cancer Research (239 citations), Biochemistry (83 citations), Endocrine and Autonomic Systems (83 citations), Physiology (289 citations) and Aging (17 citations). Melanie Schmidt has collaborated with scholars based in Germany, France and United States. Frequent co-authors include Ulrike Kämmerer, Christian Sohler, Hans‐Joachim Schmitz, J. Dietl, Dieter Schrenk, Hans-Ullrich Voelker, Michaela Kapp, Christiane Lammersen, Dan Feldman and Mathias Krockenberger. Their work appears in journals such as Diagnostic Pathology, Lecture notes in computer science, Molecular and Cellular Biochemistry, Biochemical Pharmacology and Theory of Computing Systems.

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.

Explore authors with similar magnitude of impact