Melanie Schmidt

75 papers receiving 1.8k citations

Peers

Melanie Schmidt
Comparison fields: 5 of 167
  • Cancer Research 242
  • Biochemistry 83
  • Endocrine and Autonomic Systems 82
  • Physiology 293
  • Aging 17
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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 79 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011218
2 2006170
3 2004132
4 2013117
5 200883
6 200580
7 201678
8 200971
9 202064
10 200559
11 200953
12 200838
13
Expression of VEGFR-1 (Flt-1) in breast cancer is associated with VEGF expression and with node-negative tumour stage.
200836
14 201335
15 202034
16 200832
17
The clinicopathological and prognostic relevance of pyruvate kinase M2 and pAkt expression in breast cancer.
201030
18
Expression of transketolase-like 1 protein (TKTL1) in human endometrial cancer.
201029
19 201828
20 201027

About Melanie Schmidt

Melanie Schmidt is a scholar working on Computational Theory and Mathematics, Signal Processing, Organizational Behavior and Human Resource Management, Artificial Intelligence and Endocrine and Autonomic Systems, having authored 79 papers that have together received 1.9k indexed citations. Recurring topics across this work include Complexity and Algorithms in Graphs (9 papers), Data Management and Algorithms (8 papers), Facility Location and Emergency Management (7 papers), Advanced Clustering Algorithms Research (6 papers), Computational Geometry and Mesh Generation (4 papers), Nitric Oxide and Endothelin Effects (4 papers), Privacy-Preserving Technologies in Data (4 papers) and Neuroscience of respiration and sleep (4 papers). The work is most often cited by research in Cancer Research (242 citations), Biochemistry (83 citations), Endocrine and Autonomic Systems (82 citations), Physiology (293 citations) and Aging (17 citations). Melanie Schmidt has collaborated with scholars based in Germany, United States and France. Frequent co-authors include Christian Sohler, Ulrike Kämmerer, Dan Feldman, Hans‐Joachim Schmitz, Dieter Schrenk, Jakob Dietl, Hans-Ullrich Voelker, Michaela Kapp, Christiane Lammersen and Johannes Blömer. Their work appears in journals such as Diagnostic Pathology, Lecture notes in computer science, European Journal of Obstetrics & Gynecology and Reproductive Biology, Theory of Computing Systems and SIAM Journal on Computing.

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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