Dhavalkumar D. Patel

5.2k citations
53 papers · 4.0k indexed · 1 hit paper · h-index 30
Topics
Chemokine receptors and signaling (16 papers)Cell Adhesion Molecules Research (13 papers)T-cell and B-cell Immunology (9 papers)
Partner nations
United StatesJapanChina

In The Last Decade

Dhavalkumar D. Patel

51 papers receiving 4.0k citations

Hit Papers

Fractalkine and CX3CR1 Mediate a Novel Mechanism of Leuko...19982026200720161998100200300400500

Peers

Dhavalkumar D. Patel
Comparison fields: 5 of 120
  • Immunology 2.3k
  • Oncology 1.7k
  • Molecular Biology 793
  • Immunology and Allergy 528
  • Rheumatology 511
Replace Norman Boiani with:
Norman Boiani United States
Nathan Karin Israel
Peter T. Sage United States
Vu N. Ngo United States
Mikael C. I. Karlsson Sweden
Luca Piali Switzerland
Marcel Batten Australia
Rachel Ettinger United States
Diane Hollenbaugh United States
Jürgen Müllberg Germany
Dhavalkumar D. Patel relative to Norman Boiani United States Norman Boiani's profile →
Citations per field
00.5×1.5×2.3×
Norman Boiani · 1×
Citations per year

Countries citing papers authored by Dhavalkumar D. Patel

Since Specialization
Citations

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

Fields of papers citing papers by Dhavalkumar D. Patel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dhavalkumar D. Patel. 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 Dhavalkumar D. Patel. The network helps show where Dhavalkumar D. Patel may publish in the future.

Co-authorship network of co-authors of Dhavalkumar D. Patel

This figure shows the co-authorship network connecting the top 25 collaborators of Dhavalkumar D. Patel. A scholar is included among the top collaborators of Dhavalkumar D. Patel 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 Dhavalkumar D. Patel. Dhavalkumar D. Patel 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 0
2 3
3 0
4 15
5 5
6 15
7 94
8 180
9 62
10 245
11 52
12 218
13 28
14 35
15 82
16 136
17 152
18 23
19 127
20 323

About Dhavalkumar D. Patel

Dhavalkumar D. Patel is a scholar working on Immunology and Allergy, Health Informatics and Immunology, having authored 53 papers that have together received 4.0k indexed citations. Recurring topics across this work include Chemokine receptors and signaling (16 papers), Cell Adhesion Molecules Research (13 papers) and T-cell and B-cell Immunology (9 papers). The work is most often cited by research in Immunology (2.3k citations), Immunology and Allergy (528 citations) and Oncology (1.7k citations). Dhavalkumar D. Patel has collaborated with scholars based in United States, Japan and China. Frequent co-authors include Alan M. Fong, Leona P. Whichard, Toshio Imai, Lisa A. Robinson, Osamu Yoshie, Thomas F. Tedder, Douglas A. Steeber, Michael A. Bowen, Barton F. Haynes and J M Pesando. Their work appears in journals such as New England Journal of Medicine, Journal of Biological Chemistry and Journal of Clinical Investigation.

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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