Nathan Susnik

600 citations
13 papers · 469 · h-index 12

Impact in

  • Nephrology top 5%
    • Chronic Kidney Disease and Diabetes
    • Acute Kidney Injury Research
    • Dialysis and Renal Disease Management
    • Renal Diseases and Glomerulopathies

Papers in

    • Chronic Kidney Disease and Diabetes 4
    • Acute Kidney Injury Research 3
    • Organ Transplantation Techniques and Outcomes 3

Nathan Susnik

13 papers receiving 465 citations

Peers

Nathan Susnik
Comparison fields: 5 of 75
  • Nephrology 161
  • Transplantation 20
  • Aging 12
  • Immunology 90
  • Critical Care and Intensive Care Medicine 16
Replace Kinga Musiał with:
Kinga Musiał Poland
Tiziana Spatola Italy
Vincent Pernin France
Said Movahedi Naini United States
Wipawee Kittikowit Thailand
Tohru Tamaki Japan
Maria Stoenoiu Belgium
Katsuyuki Nagatoya Japan
Pazit Beckerman Israel
Xiujuan Zang China
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Citations per field
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Citations per year

Countries citing papers authored by Nathan Susnik

Since Specialization
Citations

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

Fields of papers citing papers by Nathan Susnik

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

13 of 13 papers shown
#Work
1 201181
2 201447
3 201447
4 201141
5 201540
6 201438
7 201436
8 201431
9 201331
10 201128
11 201522
12 200919
13 20178

About Nathan Susnik

Nathan Susnik is a scholar working on Nephrology, Surgery, Molecular Biology, Pathology and Forensic Medicine and Physiology, having authored 13 papers that have together received 469 indexed citations. Recurring topics across this work include Chronic Kidney Disease and Diabetes (4 papers), Renal and related cancers (3 papers), Acute Kidney Injury Research (3 papers), Organ Transplantation Techniques and Outcomes (3 papers), Telomeres, Telomerase, and Senescence (3 papers), Biomedical Research and Pathophysiology (2 papers), Advanced Glycation End Products research (2 papers) and Cytokine Signaling Pathways and Interactions (1 paper). The work is most often cited by research in Nephrology (161 citations), Transplantation (20 citations), Aging (12 citations), Immunology (90 citations) and Critical Care and Intensive Care Medicine (16 citations). Nathan Susnik has collaborated with scholars based in Germany, United States and China. Frequent co-authors include Roland Schmitt, Anette Melk, Song Rong, Inga Sörensen-Zender, Hermann Haller, Herrmann Haller, Jay L. Degen, Inga Sörensen, Sibylle von Vietinghoff and Hermann Haller. Their work appears in journals such as American Journal of Physiology-Renal Physiology, Journal of the American Society of Nephrology, Kidney International, PLoS ONE and Journal of Nephrology.

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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