Mark Lipphardt

819 citations
18 papers · 548 · h-index 14

Impact in

Papers in

    • Renal and related cancers 4
    • Heme Oxygenase-1 and Carbon Monoxide 3
    • Chronic Kidney Disease and Diabetes 2

Mark Lipphardt

18 papers receiving 539 citations

Peers

Mark Lipphardt
Comparison fields: 5 of 68
  • Critical Care and Intensive Care Medicine 86
  • Nephrology 69
  • Geriatrics and Gerontology 26
  • Biochemistry 29
  • Clinical Biochemistry 25
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Reny Joseph United States
Marina Goldfarb Israel
Mitsuru Masaki Japan
Sei-ichiro Tsuchihashi United States
Karolina Skagen Norway
Vincent Fridén Sweden
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Citations per field
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Citations per year

Countries citing papers authored by Mark Lipphardt

Since Specialization
Citations

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

Fields of papers citing papers by Mark Lipphardt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 2018127
2 201766
3 201843
4 201939
5 201739
6 201736
7 201734
8 201824
9 202023
10 201721
11 202020
12 201619
13 202017
14
ESR1 single nucleotide polymorphisms predict breast cancer susceptibility in the central European Caucasian population.
201314
15 201812
16 20206
17 20195
18 20213

About Mark Lipphardt

Mark Lipphardt is a scholar working on Molecular Biology, Nephrology, Critical Care and Intensive Care Medicine, Genetics and Pathology and Forensic Medicine, having authored 18 papers that have together received 548 indexed citations. Recurring topics across this work include Renal and related cancers (4 papers), Trauma, Hemostasis, Coagulopathy, Resuscitation (3 papers), Heme Oxygenase-1 and Carbon Monoxide (3 papers), Chronic Kidney Disease and Diabetes (2 papers), Blood Pressure and Hypertension Studies (2 papers), Heart Rate Variability and Autonomic Control (2 papers), Erythrocyte Function and Pathophysiology (2 papers) and Multiple Sclerosis Research Studies (2 papers). The work is most often cited by research in Critical Care and Intensive Care Medicine (86 citations), Nephrology (69 citations), Geriatrics and Gerontology (26 citations), Biochemistry (29 citations) and Clinical Biochemistry (25 citations). Mark Lipphardt has collaborated with scholars based in Germany, United States and South Korea. Frequent co-authors include Michael S. Goligorsky, Jong Wook Song, Gerhard A. Müller, Hassan Dihazi, Brian B. Ratliff, Joseph Zullo, Xiao Hui Zhang, Dong Sun, Michael Koziolek and Manuel Wallbach. Their work appears in journals such as Nephrology Dialysis Transplantation, Journal of Clinical Medicine, Pediatric Research, Frontiers in Physiology and Matrix Biology.

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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