Frida Schain

463 citations
28 papers · 351 · h-index 12

Impact in

  • Hematology top 10%
    • Hematopoietic Stem Cell Transplantation
    • Multiple Myeloma Research and Treatments
    • Eicosanoids and Hypertension Pharmacology

Papers in

Frida Schain

26 papers receiving 345 citations

Peers

Frida Schain
Comparison fields: 5 of 59
  • Hematology 71
  • Biochemistry 28
  • Genetics 34
  • Toxicology 10
  • Immunology 52
Replace Lin‐wen Wu with:
Lin‐wen Wu China
Jean‐Michel Luccarini France
Chi-Chung Chan China
Jan Lemmens Belgium
Gregory Carbonetti United States
Johnny Yu United States
J. P. Eder United States
Jérôme Bourgeais France
Cynthia Serdikoff United States
Frida Schain relative to Lin‐wen Wu China Lin‐wen Wu's profile →
Citations per field
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Lin‐wen Wu · 1×
Citations per year

Countries citing papers authored by Frida Schain

Since Specialization
Citations

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

Fields of papers citing papers by Frida Schain

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202050
2 200944
3 201234
4 200828
5 201825
6 200621
7 201918
8 201917
9 201117
10 201614
11 200913
12 200812
13 201911
14 202111
15 200811
16 202010
17 20204
18 20232
19 20222
20 20191

About Frida Schain

Frida Schain is a scholar working on Hematology, Pulmonary and Respiratory Medicine, Immunology, Pathology and Forensic Medicine and Oncology, having authored 28 papers that have together received 351 indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (6 papers), Immune Cell Function and Interaction (5 papers), Prostate Cancer Treatment and Research (4 papers), Inflammatory mediators and NSAID effects (2 papers), Renal Transplantation Outcomes and Treatments (2 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (2 papers), Prostate Cancer Diagnosis and Treatment (2 papers) and Bladder and Urothelial Cancer Treatments (2 papers). The work is most often cited by research in Hematology (71 citations), Biochemistry (28 citations), Genetics (34 citations), Toxicology (10 citations) and Immunology (52 citations). Frida Schain has collaborated with scholars based in Sweden, United States and United Kingdom. Frequent co-authors include Hans‐Erik Claesson, Magnus Björkholm, Jan Sjöberg, Dawei Xu, Erik Andersson, Johan Liwing, Åsa Brunnström, Amy Levál, Cheng Liu and Hongya Han. Their work appears in journals such as PLoS ONE, Journal of Clinical Oncology, European Journal Of Haematology, The FASEB Journal and Experimental Hematology.

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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