Kuldeep Neote

5.4k citations
42 papers · 4.4k indexed · 2 hit papers · h-index 28
Topics
Chemokine receptors and signaling (18 papers)T-cell and B-cell Immunology (12 papers)Lysosomal Storage Disorders Research (9 papers)

In The Last Decade

Kuldeep Neote

42 papers receiving 4.3k citations

Hit Papers

Interferon–inducible T Cell Alpha Chemoattractant (I-TAC)...199320262004201519981993200400600

Peers

Kuldeep Neote
Comparison fields: 5 of 103
  • Immunology 2.5k
  • Oncology 1.9k
  • Molecular Biology 1.1k
  • Physiology 789
  • Epidemiology 630
Replace Dulce Soler with:
Dulce Soler United States
James E. Pease United Kingdom
Kunio Hieshima Japan
M P Beckmann United States
Terutaka Kakiuchi Japan
David H. Presky United States
Jean‐François Gauchat Canada
Marinus C. Lamers Germany
Karen S. Hathcock United States
Thierry Velu Belgium
Kuldeep Neote relative to Dulce Soler United States Dulce Soler's profile →
Citations per field
00.5×1.6×
Dulce Soler · 1×
Citations per year

Countries citing papers authored by Kuldeep Neote

Since Specialization
Citations

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

Fields of papers citing papers by Kuldeep Neote

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kuldeep Neote

This figure shows the co-authorship network connecting the top 25 collaborators of Kuldeep Neote. A scholar is included among the top collaborators of Kuldeep Neote 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 Kuldeep Neote. Kuldeep Neote is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 33
2 18
3 59
4 26
5 320
6 368
7 63
8
Interferon–inducible T Cell Alpha Chemoattractant (I-TAC): A Novel Non-ELR CXC Chemokine with Potent Activity on Activated T Cells through Selective High Affinity Binding to CXCR3breakdown →
744
9 54
10 232
11 5
12 78
13 82
14
Molecular cloning, functional expression, and signaling characteristics of a C-C chemokine receptorbreakdown →
643
15 231
16 26
17 61
18 44
19 72
20 123

About Kuldeep Neote

Kuldeep Neote is a scholar working on Immunology and Allergy, Immunology and Physiology, having authored 42 papers that have together received 4.4k indexed citations. Recurring topics across this work include Chemokine receptors and signaling (18 papers), T-cell and B-cell Immunology (12 papers) and Lysosomal Storage Disorders Research (9 papers). The work is most often cited by research in Immunology (2.5k citations), Immunology and Allergy (489 citations) and Oncology (1.9k citations). Kuldeep Neote has collaborated with scholars based in Canada, United States and Australia. Frequent co-authors include Richard Horuk, Thomas J. Schall, Ronald P. Gladue, John Y. Mak, David A. DiGregorio, Shaun R. McColl, Andrew D. Luster, Alain Sauty, Don J. Mahuran and Paul H. Naccache. Their work appears in journals such as Nature, Cell and Nucleic Acids Research.

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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