Atif Awan

1.9k citations
71 papers · 1.4k · h-index 18

Impact in

  • Nephrology top 2%
    • Renal Diseases and Glomerulopathies
    • Chronic Kidney Disease and Diabetes
    • Renal Transplantation Outcomes and Treatments

Papers in

    • Renal Transplantation Outcomes and Treatments 19
    • Renal Diseases and Glomerulopathies 11
    • Acute Kidney Injury Research 3

Atif Awan

65 papers receiving 1.3k citations

Peers

Atif Awan
Comparison fields: 5 of 75
  • Nephrology 505
  • Transplantation 132
  • Immunology 368
  • Genetics 182
  • Pediatrics, Perinatology and Child Health 71
Replace Carl H. Cramer with:
Carl H. Cramer United States
Mário Abbud‐Filho Brazil
Carolyn Y. Neuland United States
Guttmann Rd Canada
Mercedes Cabello Spain
Justyna Fryc Poland
Shaheen Riadh Alanee United States
Michael D Gitman United States
Rushang Parikh United States
Moshe Shashar Israel
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Citations per field
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Citations per year

Countries citing papers authored by Atif Awan

Since Specialization
Citations

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

Fields of papers citing papers by Atif Awan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 71 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019214
2 2013197
3 2014113
4 201179
5 201859
6 200455
7 201753
8 201949
9 202143
10 201540
11 201536
12 202125
13 202223
14 201222
15 202022
16 202021
17 199919
18 202019
19 201118
20 201718

About Atif Awan

Atif Awan is a scholar working on Transplantation, Nephrology, Immunology, Emergency Medical Services and Pediatrics, Perinatology and Child Health, having authored 71 papers that have together received 1.4k indexed citations. Recurring topics across this work include Renal Transplantation Outcomes and Treatments (19 papers), Renal Diseases and Glomerulopathies (11 papers), Complement system in diseases (10 papers), Pediatric Urology and Nephrology Studies (5 papers), Viral-associated cancers and disorders (4 papers), Biomedical Research and Pathophysiology (3 papers), Acute Kidney Injury Research (3 papers) and Genomics and Rare Diseases (3 papers). The work is most often cited by research in Nephrology (505 citations), Transplantation (132 citations), Immunology (368 citations), Genetics (182 citations) and Pediatrics, Perinatology and Child Health (71 citations). Atif Awan has collaborated with scholars based in Ireland, United Kingdom and Germany. Frequent co-authors include Mary C. Waldron, Michael Riordan, Anthony M. Dorman, Peter J. Conlon, Patrick O’Kelly, Timothy H.J. Goodship, Chia Wei Teoh, Limy Wong, John A. O’Regan and H. Terence Cook. Their work appears in journals such as Pediatric Nephrology, Pediatric Transplantation, Nephrology Dialysis Transplantation, Kidney International Reports and Journal of Inherited Metabolic Disease.

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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