Paramjit Kaur

2.1k citations
68 papers · 1.4k · 1 hit paper · h-index 15

Impact in

Papers in

Paramjit Kaur

57 papers receiving 1.3k citations

Paramjit Kaur's Hit Papers

CNS Efficacy of Osimertinib in Patients With T790M-Positive Advanced Non–Small-Cell Lung Cancer: Data From a Randomized Phase III Trial (AURA3) 2018 · 349 citations
3490+2+5Years since publication100200300

Peers

Paramjit Kaur
Comparison fields: 5 of 94
  • Management of Technology and Innovation 129
  • Oncology 392
  • Endocrinology, Diabetes and Metabolism 237
  • Pulmonary and Respiratory Medicine 456
  • Genetics 384
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Citations per year

Countries citing papers authored by Paramjit Kaur

Since Specialization
Citations

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

Fields of papers citing papers by Paramjit Kaur

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 68 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000381
2
CNS Efficacy of Osimertinib in Patients With T790M-Positive Advanced Non–Small-Cell Lung Cancer: Data From a Randomized Phase III Trial (AURA3)
Hit paper breakdown →
2018349
3 2014111
4
Transfusion-transmitted infections: existing and emerging pathogens.
200653
5 201447
6
Patterns of infections among blood donors in a tertiary care centre: a retrospective study.
201040
7 201136
8 200435
9 201433
10 201530
11 200723
12 201323
13 201419
14 201617
15 201315
16 202011
17 201211
18 202110
19 201310
20 201310

About Paramjit Kaur

Paramjit Kaur is a scholar working on Hematology, Management of Technology and Innovation, Genetics, Biochemistry and Infectious Diseases, having authored 68 papers that have together received 1.4k indexed citations. Recurring topics across this work include Blood donation and transfusion practices (17 papers), Blood transfusion and management (13 papers), Blood groups and transfusion (13 papers), Hemoglobinopathies and Related Disorders (12 papers), Erythrocyte Function and Pathophysiology (9 papers), Iron Metabolism and Disorders (4 papers), Trauma, Hemostasis, Coagulopathy, Resuscitation (4 papers) and Leprosy Research and Treatment (4 papers). The work is most often cited by research in Management of Technology and Innovation (129 citations), Oncology (392 citations), Endocrinology, Diabetes and Metabolism (237 citations), Pulmonary and Respiratory Medicine (456 citations) and Genetics (384 citations). Paramjit Kaur has collaborated with scholars based in India, United States and Italy. Frequent co-authors include Katalin Kelemen, Marian Rewers, Liping Yu, Norio Abiru, David T. Robles, George S. Eisenbarth, Gagandeep Kaur, Vassiliki A. Papadimitrakopoulou, Gagandeep Kaur and Suprit Basu. Their work appears in journals such as Journal of Clinical Oncology, Vox Sanguinis, Transfusion, International review of neurobiology and Leprosy Review.

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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