Elsebeth Staun-Ram

1.5k citations
24 papers · 1.2k · h-index 16

Impact in

    • Pregnancy and preeclampsia studies
  • Immunology top 5%
    • Reproductive System and Pregnancy
    • T-cell and B-cell Immunology
    • Immunotherapy and Immune Responses

Papers in

Elsebeth Staun-Ram

24 papers receiving 1.2k citations

Peers

Elsebeth Staun-Ram
Comparison fields: 5 of 91
  • Obstetrics and Gynecology 288
  • Immunology 464
  • Pathology and Forensic Medicine 257
  • Biological Psychiatry 32
  • Reproductive Medicine 91
Replace Yuehong Ma with:
Yuehong Ma China
Elena Dal Cin Italy
Alexandra Gellhaus Germany
Richard C. Nicholson Australia
Claudia A. Krusche Germany
Joshua I. Warrick United States
Smriti Agrawal India
Guillermo Barila United States
Keiji Tatsumi Japan
Laurent Delpy France
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Citations per field
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Citations per year

Countries citing papers authored by Elsebeth Staun-Ram

Since Specialization
Citations

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

Fields of papers citing papers by Elsebeth Staun-Ram

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Elsebeth Staun-Ram. 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 Elsebeth Staun-Ram. The network helps show where Elsebeth Staun-Ram may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004316
2 2005254
3 201672
4 201371
5 201764
6 201355
7 201551
8 201249
9 200940
10 201032
11 201329
12 202226
13 201925
14 200923
15 201722
16 201920
17 202013
18 202312
19 201811
20 20169

About Elsebeth Staun-Ram

Elsebeth Staun-Ram is a scholar working on Pathology and Forensic Medicine, Molecular Biology, Immunology, Cancer Research and Obstetrics and Gynecology, having authored 24 papers that have together received 1.2k indexed citations. Recurring topics across this work include Multiple Sclerosis Research Studies (8 papers), T-cell and B-cell Immunology (2 papers), Pregnancy and preeclampsia studies (2 papers), Protease and Inhibitor Mechanisms (2 papers), Sphingolipid Metabolism and Signaling (2 papers), Folate and B Vitamins Research (1 paper), Endometriosis Research and Treatment (1 paper) and Genomics, phytochemicals, and oxidative stress (1 paper). The work is most often cited by research in Obstetrics and Gynecology (288 citations), Immunology (464 citations), Pathology and Forensic Medicine (257 citations), Biological Psychiatry (32 citations) and Reproductive Medicine (91 citations). Elsebeth Staun-Ram has collaborated with scholars based in Israel, France and Czechia. Frequent co-authors include Eliezer Shalev, Ariel Miller, Shlomit Goldman, Daniel Golan, Mira Barak, Sophia Ish‐Shalom, Nili Avidan, Orit Rozenberg, Lea Glass‐Marmor and Sara Dishon. Their work appears in journals such as Journal of Neuroimmunology, Reproductive Biology and Endocrinology, Clinical Immunology, Journal of Autoimmunity and Frontiers in Immunology.

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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