Prem Ponka

14.0k citations
147 papers · 11.2k indexed · 2 hit papers · h-index 52

Impact in

  • Hematology top 0.1%
    • Iron Metabolism and Disorders
  • Genetics top 0.1%
    • Hemoglobinopathies and Related Disorders

Papers in

    • Iron Metabolism and Disorders 81
    • Hemoglobinopathies and Related Disorders 70

Prem Ponka

143 papers receiving 11.0k citations

Hit Papers

Iron Overload in Human Disease 2012 · 456 citations
4561997202620062016200400600

Peers

Prem Ponka
Comparison fields: 5 of 144
  • Hematology 4.5k
  • Genetics 3.0k
  • Nutrition and Dietetics 3.5k
  • Molecular Biology 4.2k
  • Cell Biology 826
Replace Kostas Pantopoulos with:
Kostas Pantopoulos Canada
Gaetano Cairo Italy
Evan H. Morgan Australia
Z. Ioav Cabantchik Israel
Tracey A. Rouault United States
Sonia Levi Italy
Marianne Wessling‐Resnick United States
Seppo Parkkila Finland
Des R. Richardson Australia
William S. Sly United States
Prem Ponka relative to Kostas Pantopoulos Canada Kostas Pantopoulos's profile →
Citations per field
00.5×1.6×
Kostas Pantopoulos · 1×
Citations per year

Countries citing papers authored by Prem Ponka

Since Specialization
Citations

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

Fields of papers citing papers by Prem Ponka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 201883
2 201734
3 20141
4 2011267
5 20107
6 201057
7 200923
8 200880
9 200818
10 2006436
11 200628
12 200335
13 20028
14 200235
15 200238
16 200176
17 199876
18 199546
19 199434
20 199322

About Prem Ponka

Prem Ponka is a scholar working on Hematology, Genetics, Nutrition and Dietetics, Physiology and Molecular Biology, having authored 147 papers that have together received 11.2k indexed citations. Recurring topics across this work include Iron Metabolism and Disorders (81 papers), Hemoglobinopathies and Related Disorders (70 papers), Trace Elements in Health (46 papers), Erythrocyte Function and Pathophysiology (31 papers), Heme Oxygenase-1 and Carbon Monoxide (22 papers), Neonatal Health and Biochemistry (16 papers), Mitochondrial Function and Pathology (10 papers) and Porphyrin Metabolism and Disorders (9 papers). The work is most often cited by research in Hematology (4.5k citations), Genetics (3.0k citations), Nutrition and Dietetics (3.5k citations), Molecular Biology (4.2k citations) and Cell Biology (826 citations). Prem Ponka has collaborated with scholars based in Canada, United States and Australia. Frequent co-authors include Des R. Richardson, Alex D. Sheftel, Robert E. Fleming, Megan Whitnall, Chun Nam Lok, Mark J. Koury, C. Beaumont, Philippe Gros, François Canonne‐Hergaux and E. Becker. Their work appears in journals such as Blood, Journal of Biological Chemistry, Proceedings of the National Academy of Sciences, Experimental Hematology and Biochemical 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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