N. Shafqat

1.6k citations
25 papers · 1.2k indexed · 1 hit paper · h-index 16

N. Shafqat

25 papers receiving 1.2k citations

Hit Papers

Short-chain dehydrogenases/reductases (SDR): the 2002 update5522003202620102018100200300400500

Peers

N. Shafqat
Comparison fields: 5 of 107
  • Endocrinology, Diabetes and Metabolism 263
  • Pharmacology 130
  • Biochemistry 105
  • Molecular Biology 707
  • Clinical Biochemistry 68
Replace Erik Nordling with:
Erik Nordling Sweden
Charlotta Filling Sweden
Masayuki Nakanishi Japan
Maria Krook Sweden
Chi‐Ching Hwang Taiwan
George Melnykovych United States
Tsu‐Chung Chang Taiwan
H Taper Belgium
Kazuo Kanai Japan
Mizuho Une Japan
N. Shafqat relative to Erik Nordling Sweden Erik Nordling's profile →
Citations per field
00.5×1.5×
Erik Nordling · 1×
Citations per year

Countries citing papers authored by N. Shafqat

Since Specialization
Citations

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

Fields of papers citing papers by N. Shafqat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20241
2 20233
3 20234
4 202241
5 20223
6 201427
7 201342
8 201351
9 20102
10 201057
11 201015
12 200954
13 20074
14 200633
15 200640
16
SDR goes SGC: A structural genomics initiative
20061
17 200465
18
Short-chain dehydrogenases/reductases (SDR): the 2002 updatebreakdown →
2003552
19 200326
20 200110

About N. Shafqat

N. Shafqat is a scholar working on Applied Microbiology and Biotechnology, Geriatrics and Gerontology and Filtration and Separation, having authored 25 papers that have together received 1.2k indexed citations. Recurring topics across this work include Enzyme Structure and Function (6 papers), Hormonal Regulation and Hypertension (6 papers), Aldose Reductase and Taurine (4 papers), Biochemical and Molecular Research (3 papers), Coenzyme Q10 studies and effects (2 papers), Antibiotic Use and Resistance (2 papers), Metabolism and Genetic Disorders (2 papers) and Pharmacogenetics and Drug Metabolism (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (263 citations), Pharmacology (130 citations) and Biochemistry (105 citations). N. Shafqat has collaborated with scholars based in United Kingdom, Brunei and Sweden. Frequent co-authors include Udo Oppermann, Hans Jörnvall, Jawed Shafqat, Charlotta Filling, Xiaoqiu Wu, Erik Nordling, Malin Hult, Bengt Persson, Yvonne Kallberg and Monica Lindh. Their work appears in journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and Journal of Molecular Biology.

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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