Gurdeep Parmar

494 total citations
15 papers, 51 citations indexed

About

Gurdeep Parmar is a scholar working on Hematology, Oncology and Molecular Biology. According to data from OpenAlex, Gurdeep Parmar has authored 15 papers receiving a total of 51 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Hematology, 9 papers in Oncology and 6 papers in Molecular Biology. Recurrent topics in Gurdeep Parmar's work include Multiple Myeloma Research and Treatments (12 papers), Peptidase Inhibition and Analysis (4 papers) and Cancer Treatment and Pharmacology (3 papers). Gurdeep Parmar is often cited by papers focused on Multiple Myeloma Research and Treatments (12 papers), Peptidase Inhibition and Analysis (4 papers) and Cancer Treatment and Pharmacology (3 papers). Gurdeep Parmar collaborates with scholars based in Australia, United States and France. Gurdeep Parmar's co-authors include Daniel Brungs, Hang Quach, Sumit Madan, Enrique M. Ocio, María‐Victoria Mateos, Nobuhiro Tsukada, Pierre Bories, Sandrine Macé, Kazutaka Sunami and Florence Suzan and has published in prestigious journals such as Journal of Clinical Oncology, Blood and Haematologica.

In The Last Decade

Gurdeep Parmar

13 papers receiving 50 citations

Peers

Gurdeep Parmar
Comparison fields: 5 of 27
  • Oncology 23
  • Hematology 23
  • Emergency Medical Services 18
  • Molecular Biology 17
  • Pulmonary and Respiratory Medicine 12
Replace Fabrizio Ciambelli with:
Fabrizio Ciambelli Italy
Vladimir Otašević Serbia
Nicola Jackson United Kingdom
Petrucci
Charlotte Fenioux France
Neal Sule United States
Aarash Saleh United Kingdom
Hila Magen‐Nativ Israel
Catherine Sperlich Canada
Christoph Gold Germany
Fabrizio Ciambelli Italy View profile →
Citations per field, relative to Gurdeep Parmar
Gurdeep Parmar · 1×
Citations per year, relative to Gurdeep Parmar
Gurdeep Parmar · 1×

Countries citing papers authored by Gurdeep Parmar

Since Specialization
Citations

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

Fields of papers citing papers by Gurdeep Parmar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gurdeep Parmar

This figure shows the co-authorship network connecting the top 25 collaborators of Gurdeep Parmar. A scholar is included among the top collaborators of Gurdeep Parmar based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Gurdeep Parmar. Gurdeep Parmar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

15 of 15 papers shown
# Work Indexed citations
1 0
2 2
3 0
4 4
5 3
6 1
7 7
8 1
9 5
10 4
11 1
12 18
13 2
14 1
15 2

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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2026