Jennifer A. Schaub

21 papers receiving 526 citations

Hit Papers

Combination therapy for kidney disease in people with dia...202420262025202410203040

Peers

Jennifer A. Schaub
Comparison fields: 5 of 78
  • Nephrology 155
  • Molecular Biology 107
  • Surgery 100
  • Endocrinology, Diabetes and Metabolism 100
  • Cardiology and Cardiovascular Medicine 78
Replace Sara Gonçalves with:
Sara Gonçalves Portugal
Beth A. Vogt United States
Sul A Lee United States
Joseph L. Alge United States
Sergio Dellepiane Italy
Xiajing Che China
Giacomo Lanfranco Italy
Julia Lepenies Germany
Chieh‐Li Yen Taiwan
Gary C.W. Chan Hong Kong
Jennifer A. Schaub relative to Sara Gonçalves Portugal Sara Gonçalves's profile →
Citations per field
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Citations per year

Countries citing papers authored by Jennifer A. Schaub

Since Specialization
Citations

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

Fields of papers citing papers by Jennifer A. Schaub

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jennifer A. Schaub. 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 Jennifer A. Schaub. The network helps show where Jennifer A. Schaub may publish in the future.

Co-authorship network of co-authors of Jennifer A. Schaub

This figure shows the co-authorship network connecting the top 25 collaborators of Jennifer A. Schaub. A scholar is included among the top collaborators of Jennifer A. Schaub based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jennifer A. Schaub. Jennifer A. Schaub is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
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Combination therapy for kidney disease in people with diabetes mellitusbreakdown →
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5 4
6 0
7 4
8 7
9 1
10 132
11 46
12 22
13 4
14 29
15 21
16 5
17 46
18 21
19 31
20 17

About Jennifer A. Schaub

Jennifer A. Schaub is a scholar working on Nephrology, Critical Care and Intensive Care Medicine and Transplantation, having authored 25 papers that have together received 537 indexed citations. Recurring topics across this work include Acute Kidney Injury Research (7 papers), Chronic Kidney Disease and Diabetes (6 papers) and Cardiac, Anesthesia and Surgical Outcomes (4 papers). The work is most often cited by research in Nephrology (155 citations), Critical Care and Intensive Care Medicine (57 citations) and Transplantation (26 citations). Jennifer A. Schaub has collaborated with scholars based in United States, Germany and Canada. Frequent co-authors include Daniël H. van Raalte, Petter Bjornstad, Pottumarthi V. Prasad, Volker Vallon, Gozewijn D. Laverman, Anne C. Hesp, Joel M. Weinberg, Manjeri A. Venkatachalam, Chirag R. Parikh and Jeffrey M. Testani. Their work appears in journals such as American Journal of Respiratory and Critical Care Medicine, Kidney International and CHEST Journal.

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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