Roberta Schulte

2.8k citations
32 papers · 2.4k · h-index 23

Impact in

Papers in

Roberta Schulte

32 papers receiving 2.3k citations

Peers

Roberta Schulte
Comparison fields: 5 of 114
  • Immunology and Allergy 375
  • Cell Biology 554
  • Immunology 652
  • Aging 54
  • Molecular Biology 1.5k
Replace Ian P. Whitehead with:
Ian P. Whitehead United States
Yuriko Yamawaki‐Kataoka Japan
Kristen Carlberg United States
Koko Katagiri Japan
H E Varmus United States
Sylvie Marchetto France
Pierre Roux France
A J MacKrell United States
Akira Togayachi Japan
David Marriott United States
Roberta Schulte relative to Ian P. Whitehead United States Ian P. Whitehead's profile →
Citations per field
00.5×2.7×
Ian P. Whitehead · 1×
Citations per year

Countries citing papers authored by Roberta Schulte

Since Specialization
Citations

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

Fields of papers citing papers by Roberta Schulte

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010355
2 1982323
3 1998211
4 1990188
5 2018149
6 1992127
7 1982115
8 198499
9 198583
10 198682
11 198579
12 198965
13 199058
14 199153
15 198642
16 198835
17 198434
18 201933
19 202032
20 199030

About Roberta Schulte

Roberta Schulte is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging, Immunology, Cell Biology and Oncology, having authored 32 papers that have together received 2.4k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (16 papers), Glycosylation and Glycoproteins Research (8 papers), T-cell and B-cell Immunology (8 papers), RNA Research and Splicing (6 papers), Protein purification and stability (5 papers), Toxin Mechanisms and Immunotoxins (4 papers), Nuclear Structure and Function (4 papers) and Galectins and Cancer Biology (3 papers). The work is most often cited by research in Immunology and Allergy (375 citations), Cell Biology (554 citations), Immunology (652 citations), Aging (54 citations) and Molecular Biology (1.5k citations). Roberta Schulte has collaborated with scholars based in United States, Germany and Austria. Frequent co-authors include Jayne Lesley, Robert Hyman, Joseph Trotter, Ian S. Trowbridge, Martin W. Hetzer, Bartholomew M. Sefton, Maya Capelson, Yun Xiang Liang, William B. Mair and Ulrich Wagner. Their work appears in journals such as Cellular Immunology, Molecular and Cellular Biology, Immunogenetics, Experimental Cell Research and Science.

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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