J. Pazik

717 citations
56 papers · 498 · h-index 11

Impact in

Papers in

J. Pazik

54 papers receiving 487 citations

Peers

J. Pazik
Comparison fields: 5 of 82
  • Transplantation 125
  • Applied Psychology 29
  • Molecular Medicine 24
  • Nephrology 34
  • Physiology 120
Replace Jean‐Michel Hougardy with:
Jean‐Michel Hougardy Belgium
Justyna Gołębiewska Poland
David Saitovitch Brazil
Mi-Sun Jang Germany
E. Monteiro Portugal
Marie‐José Clermont Canada
Jessica Stevenson Australia
Kjersti Lønning Norway
Dongmei Hu China
J Vilardell Spain
J. Pazik relative to Jean‐Michel Hougardy Belgium Jean‐Michel Hougardy's profile →
Citations per field
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Jean‐Michel Hougardy · 1×
Citations per year

Countries citing papers authored by J. Pazik

Since Specialization
Citations

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

Fields of papers citing papers by J. Pazik

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 56 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011150
2 200737
3 201224
4 201919
5 202019
6 201116
7 200515
8 201814
9 201114
10 200613
11 200911
12 200310
13 201810
14 20139
15 20119
16 20038
17
Renin-Angiotensin-Aldosterone system inhibitors and statins prolong graft survival in post-transplant glomerulonephritis.
20088
18 20037
19 20097
20 20186

About J. Pazik

J. Pazik is a scholar working on Transplantation, Nephrology, Public Health, Environmental and Occupational Health, Epidemiology and Molecular Biology, having authored 56 papers that have together received 498 indexed citations. Recurring topics across this work include Renal Transplantation Outcomes and Treatments (26 papers), Renal Diseases and Glomerulopathies (14 papers), Pregnancy and Medication Impact (10 papers), Neurological Complications and Syndromes (6 papers), Organ Transplantation Techniques and Outcomes (6 papers), Pregnancy and preeclampsia studies (5 papers), Cytomegalovirus and herpesvirus research (5 papers) and Biochemical and Molecular Research (4 papers). The work is most often cited by research in Transplantation (125 citations), Applied Psychology (29 citations), Molecular Medicine (24 citations), Nephrology (34 citations) and Physiology (120 citations). J. Pazik has collaborated with scholars based in Poland and United Kingdom. Frequent co-authors include Dorota Lewandowska, Magdalena Durlik, Witold Zatoński, Robert West, Magdalena Cedzyńska, John Stapleton, Paul Aveyard, Zbigniew Lewandowski, Agnieszka Perkowska‐Ptasińska and A. Chmura. Their work appears in journals such as Transplantation Proceedings, Transplant International, Transplantation, American Journal of Nephrology and Genes.

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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