Prem Ponka

150 papers receiving 11.8k citations

Prem Ponka's Hit Papers

Iron Overload in Human Disease 2012 · 466 citations
4660+9+19Years since publication200400600

Peers

Prem Ponka
Comparison fields: 5 of 143
  • Hematology 4.5k
  • Genetics 2.9k
  • Nutrition and Dietetics 3.4k
  • Molecular Biology 4.3k
  • Neurology 417
Replace Suzy V. Torti with:
Suzy V. Torti United States
Kostas Pantopoulos Canada
Martina U. Muckenthaler Germany
Gaetano Cairo Italy
Tracey A. Rouault United States
Evan H. Morgan Australia
Z. Ioav Cabantchik Israel
Des R. Richardson Australia
William S. Sly United States
Marianne Wessling‐Resnick United States
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Citations per field
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Suzy V. Torti · 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-authors

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

Showing the 20 most-cited of 153 papers — load more, or switch the sort, to bring in the rest.

#Work
1
The molecular mechanisms of the metabolism and transport of iron in normal and neoplastic cells
Hit paper breakdown →
1997608
2 1999486
3
Iron Overload in Human Disease
Hit paper breakdown →
2012466
4 1999458
5 2006437
6
Function and regulation of transferrin and ferritin.
1998433
7 1997432
8 2010402
9 1999392
10 1999337
11 2004324
12 1999323
13 1995320
14 2011272
15 1999221
16 2004219
17 2007209
18 2009184
19 2011169
20 2004156

About Prem Ponka

Prem Ponka is a scholar working on Hematology, Genetics, Molecular Biology, Nutrition and Dietetics and Physiology, having authored 153 papers that have together received 12.0k indexed citations. Recurring topics across this work include Iron Metabolism and Disorders (81 papers), Hemoglobinopathies and Related Disorders (71 papers), Trace Elements in Health (46 papers), Erythrocyte Function and Pathophysiology (30 papers), Heme Oxygenase-1 and Carbon Monoxide (21 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 (2.9k citations), Nutrition and Dietetics (3.4k citations), Molecular Biology (4.3k citations) and Neurology (417 citations). Prem Ponka has collaborated with scholars based in Canada, United States and Australia. Frequent co-authors include Des R. Richardson, Chun Nam Lok, Alex D. Sheftel, Robert E. Fleming, Megan Whitnall, Mark J. Koury, Herbert M. Schulman, E. Becker, C. Beaumont and Philippe Gros. Their work appears in journals such as Blood, Proceedings of the National Academy of Sciences, Journal of Biological Chemistry, 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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