Eva Schmelzer

3.1k citations
59 papers · 2.4k · h-index 22

Impact in

  • Hepatology top 0.5%
    • Liver physiology and pathology
  • Genetics top 2%
    • Mesenchymal stem cell research

Papers in

    • Pancreatic function and diabetes 15
    • Organ Transplantation Techniques and Outcomes 14
    • Tissue Engineering and Regenerative Medicine 7
    • Liver physiology and pathology 29

Eva Schmelzer

56 papers receiving 2.4k citations

Peers

Eva Schmelzer
Comparison fields: 5 of 125
  • Hepatology 1.0k
  • Genetics 373
  • Surgery 1.1k
  • Oncology 370
  • Molecular Biology 834
Replace Haozhen Ren with:
Haozhen Ren China
Riccardo Ferracini Italy
Kangshun Zhu China
Hirohiko Ise Japan
Arno W. Tilles United States
Naoto Koike Japan
Yasuharu Ueno Japan
Yu‐Ru V. Shih United States
Guihua Chen China
Takeshi Katsuda Japan
Eva Schmelzer relative to Haozhen Ren China Haozhen Ren's profile →
Citations per field
00.5×4.7×
Haozhen Ren · 1×
Citations per year

Countries citing papers authored by Eva Schmelzer

Since Specialization
Citations

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

Fields of papers citing papers by Eva Schmelzer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 59 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007435
2 2006273
3 2008208
4 2003200
5 2005165
6 201495
7 200790
8 200661
9 201154
10 201048
11 199145
12 201243
13 201142
14 200838
15 201938
16 200935
17 200934
18 201433
19 200824
20 198924

About Eva Schmelzer

Eva Schmelzer is a scholar working on Surgery, Hepatology, Genetics, Molecular Biology and Biomedical Engineering, having authored 59 papers that have together received 2.4k indexed citations. Recurring topics across this work include Liver physiology and pathology (29 papers), Pancreatic function and diabetes (15 papers), Organ Transplantation Techniques and Outcomes (14 papers), Mesenchymal stem cell research (13 papers), Tissue Engineering and Regenerative Medicine (7 papers), Bone Tissue Engineering Materials (6 papers), 3D Printing in Biomedical Research (6 papers) and Wound Healing and Treatments (4 papers). The work is most often cited by research in Hepatology (1.0k citations), Genetics (373 citations), Surgery (1.1k citations), Oncology (370 citations) and Molecular Biology (834 citations). Eva Schmelzer has collaborated with scholars based in United States, Italy and Germany. Frequent co-authors include Lola M. Reid, Eliane Wauthier, Jörg C. Gerlach, Randall McClelland, Augustinus Bader, Alaa Melhem, John W. Ludlow, William S. Turner, Bruno Gridelli and Katrin Lorenz. Their work appears in journals such as Tissue Engineering Part C Methods, Polymer, BioMed Research International, Biotechnology and Bioengineering and Tissue Engineering Part A.

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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