James E. Novak

1.2k citations
23 papers · 886 · h-index 13

Impact in

  • Nephrology top 5%
    • Acute Kidney Injury Research
    • Chronic Kidney Disease and Diabetes
    • Dialysis and Renal Disease Management
  • Hematology top 5%
    • Erythropoietin and Anemia Treatment

Papers in

James E. Novak

21 papers receiving 867 citations

Peers

James E. Novak
Comparison fields: 5 of 105
  • Nephrology 135
  • Hematology 134
  • Cancer Research 87
  • Critical Care and Intensive Care Medicine 20
  • Genetics 42
Replace John Lamont with:
John Lamont United Kingdom
Aditi A. Kapasi United States
Brian Schimpf United States
Lambertus J. van Tits Netherlands
Weifeng Wu China
A Carpenter United Kingdom
Viviènne Verweij Netherlands
Olivera Marković Serbia
Zübeyde Erbayraktar Türkiye
James E. Novak relative to John Lamont United Kingdom John Lamont's profile →
Citations per field
00.5×4.3×
John Lamont · 1×
Citations per year

Countries citing papers authored by James E. Novak

Since Specialization
Citations

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

Fields of papers citing papers by James E. Novak

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by James E. Novak. 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 James E. Novak. The network helps show where James E. Novak may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002324
2 2016225
3 201348
4 199947
5 202244
6 201124
7 202022
8 200819
9 201914
10 201914
11 200013
12 200013
13 201812
14 200812
15 201711
16 201611
17 201911
18 20147
19 20097
20
Modern Graphics Communication
19986

About James E. Novak

James E. Novak is a scholar working on Nephrology, Physiology, Infectious Diseases, Surgery and Cell Biology, having authored 23 papers that have together received 886 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (2 papers), Parvovirus B19 Infection Studies (2 papers), Electrolyte and hormonal disorders (2 papers), Aldose Reductase and Taurine (2 papers), Potassium and Related Disorders (2 papers), Erythropoietin and Anemia Treatment (2 papers), Lysosomal Storage Disorders Research (2 papers) and Acute Kidney Injury Research (2 papers). The work is most often cited by research in Nephrology (135 citations), Hematology (134 citations), Cancer Research (87 citations), Critical Care and Intensive Care Medicine (20 citations) and Genetics (42 citations). James E. Novak has collaborated with scholars based in United States, Rwanda and Australia. Frequent co-authors include Bernard W. Agranoff, Stephen K. Fisher, Lynda A. Szczech, David H. Ellison, Anatole Besarab, Kin-Hung P. Yu, Thomas B. Neff, Chao Sun, John H. Durham and José L. Cangiano. Their work appears in journals such as Advances in Chronic Kidney Disease, Journal of Neurochemistry, American Journal of Kidney Diseases, Clinical Journal of the American Society of Nephrology and PLoS ONE.

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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