Sandra Schulze

2.3k citations
75 papers · 1.8k · h-index 27

Impact in

Papers in

    • Genomics and Chromatin Dynamics 9
    • Glycosylation and Glycoproteins Research 8
    • Kruppel-like factors research 6
    • TGF-β signaling in diseases 6
    • Galectins and Cancer Biology 9

Sandra Schulze

75 papers receiving 1.8k citations

Peers

Sandra Schulze
Comparison fields: 5 of 119
  • Obstetrics and Gynecology 404
  • Immunology 506
  • Reproductive Medicine 171
  • Pharmaceutical Science 87
  • Molecular Biology 891
Replace Haiyan Lin with:
Haiyan Lin China
Alan P. Johnstone United Kingdom
Sandra E. Reznik United States
Riccardo Vago Italy
Tao Zhou China
Michael J. Rindler United States
Junichiro Futami Japan
Natarajan V. Bhanu United States
Hui‐Li Yang China
G. Romeo Italy
Sandra Schulze relative to Haiyan Lin China Haiyan Lin's profile →
Citations per field
00.5×7.3×
Haiyan Lin · 1×
Citations per year

Countries citing papers authored by Sandra Schulze

Since Specialization
Citations

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

Fields of papers citing papers by Sandra Schulze

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 75 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200784
2 200781
3 200578
4 200058
5 200654
6 200653
7 200850
8 201650
9 200547
10 200947
11 200647
12 198544
13 201743
14 200942
15 200841
16 200939
17 200638
18 200537
19 200934
20 200634

About Sandra Schulze

Sandra Schulze is a scholar working on Molecular Biology, Immunology, Pediatrics, Perinatology and Child Health, Obstetrics and Gynecology and Genetics, having authored 75 papers that have together received 1.8k indexed citations. Recurring topics across this work include Galectins and Cancer Biology (9 papers), Genomics and Chromatin Dynamics (9 papers), Pregnancy and preeclampsia studies (9 papers), Glycosylation and Glycoproteins Research (8 papers), Estrogen and related hormone effects (7 papers), Kruppel-like factors research (6 papers), TGF-β signaling in diseases (6 papers) and Birth, Development, and Health (5 papers). The work is most often cited by research in Obstetrics and Gynecology (404 citations), Immunology (506 citations), Reproductive Medicine (171 citations), Pharmaceutical Science (87 citations) and Molecular Biology (891 citations). Sandra Schulze has collaborated with scholars based in Germany, United States and Greece. Frequent co-authors include Udo Jeschke, Christina Kühn, Klaus Friese, Ioannis Mylonas, B Schießl, Doris Mayr, Gerhard Winter, Lori L. Wallrath, Hermann Walzel and K Friese. Their work appears in journals such as Histochemistry and Cell Biology, Journal of Controlled Release, Genetics, Journal of Histochemistry & Cytochemistry and Acta Histochemica.

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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