Kamiel Palfliet

1.1k total citations
20 papers, 937 citations indexed

About

Kamiel Palfliet is a scholar working on Immunology, Epidemiology and Infectious Diseases. According to data from OpenAlex, Kamiel Palfliet has authored 20 papers receiving a total of 937 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Immunology, 9 papers in Epidemiology and 7 papers in Infectious Diseases. Recurrent topics in Kamiel Palfliet's work include Tuberculosis Research and Epidemiology (7 papers), Immune Cell Function and Interaction (6 papers) and Immune Response and Inflammation (5 papers). Kamiel Palfliet is often cited by papers focused on Tuberculosis Research and Epidemiology (7 papers), Immune Cell Function and Interaction (6 papers) and Immune Response and Inflammation (5 papers). Kamiel Palfliet collaborates with scholars based in Belgium, France and United States. Kamiel Palfliet's co-authors include Kris Huygen, Fabienne Jurion, Olivier Denis, Albert Vanonckelen, Audrey Tanghe, Shanti S. D’Souza, Annie Drowart, Márta Romano, Valérie Rosseels and J P Van Vooren and has published in prestigious journals such as The Journal of Urology, Infection and Immunity and European Urology.

In The Last Decade

Kamiel Palfliet

19 papers receiving 882 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Kamiel Palfliet Belgium 14 525 495 404 237 203 20 937
Fabienne Jurion Belgium 17 632 1.2× 557 1.1× 476 1.2× 294 1.2× 246 1.2× 24 1.1k
J. J. Moulds United States 19 169 0.3× 312 0.6× 159 0.4× 354 1.5× 239 1.2× 46 1.4k
Marc A. Keen United States 10 528 1.0× 452 0.9× 411 1.0× 149 0.6× 108 0.5× 10 802
Murdo Macdonald United States 14 689 1.3× 300 0.6× 489 1.2× 121 0.5× 253 1.2× 20 858
Pairote Laochumroonvorapong United States 9 497 0.9× 340 0.7× 425 1.1× 205 0.9× 147 0.7× 12 893
R Turcotte Canada 13 292 0.6× 257 0.5× 257 0.6× 67 0.3× 57 0.3× 44 560
Veerabadran Dheenadhayalan United States 14 647 1.2× 359 0.7× 459 1.1× 171 0.7× 111 0.5× 18 818
George A. Kosmiadi Russia 12 749 1.4× 406 0.8× 594 1.5× 231 1.0× 250 1.2× 14 1.1k
Tatiana Kondratieva Russia 16 637 1.2× 428 0.9× 481 1.2× 153 0.6× 120 0.6× 34 877
Juan C. Bandrés United States 17 272 0.5× 323 0.7× 138 0.3× 141 0.6× 59 0.3× 28 845

Countries citing papers authored by Kamiel Palfliet

Since Specialization
Citations

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

Fields of papers citing papers by Kamiel Palfliet

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kamiel Palfliet

This figure shows the co-authorship network connecting the top 25 collaborators of Kamiel Palfliet. A scholar is included among the top collaborators of Kamiel Palfliet 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 Kamiel Palfliet. Kamiel Palfliet 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
2.
D’Souza, Shanti S., Valérie Rosseels, Márta Romano, et al.. (2002). Mapping of Murine Th1 Helper T-Cell Epitopes of Mycolyl Transferases Ag85A, Ag85B, and Ag85C fromMycobacterium tuberculosis. Infection and Immunity. 71(1). 483–493. 134 indexed citations
3.
D’Souza, Shanti S., Valérie Rosseels, Olivier Denis, et al.. (2002). Improved Tuberculosis DNA Vaccines by Formulation in Cationic Lipids. Infection and Immunity. 70(7). 3681–3688. 82 indexed citations
4.
Zlotta, Alexandre R., J P Van Vooren, Kris Huygen, et al.. (2000). What Is the Optimal Regimen for BCG Intravesical Therapy?. European Urology. 37(4). 470–477. 76 indexed citations
5.
Denis, Olivier, Audrey Tanghe, Kamiel Palfliet, et al.. (1998). Vaccination with Plasmid DNA Encoding Mycobacterial Antigen 85A Stimulates a CD4+and CD8+T-Cell Epitopic Repertoire Broader than That Stimulated byMycobacterium tuberculosisH37Rv Infection. Infection and Immunity. 66(4). 1527–1533. 151 indexed citations
6.
Zlotta, Alexandre R., Annie Drowart, Jean‐Paul Van Vooren, et al.. (1998). SUPERFICIAL BLADDER TUMORS AND INCREASED REACTIVITY AGAINST MYCOBACTERIAL ANTIGENS BEFORE BACILLUS CALMETTE-GUERIN THERAPY. The Journal of Urology. 159(6). 1885–1891. 8 indexed citations
7.
Zlotta, Alexandre R., Annie Drowart, Kris Huygen, et al.. (1997). Humoral response against heat shock proteins and other mycobacterial antigens after intravesical treatment with bacille Calmette–Guérin (BCG) in patients with superficial bladder cancer. Clinical & Experimental Immunology. 109(1). 157–165. 51 indexed citations
8.
Lozes, E, Olivier Denis, Annie Drowart, et al.. (1997). Cross‐Reactive Immune Responses Against Mycobacterium bovis BCG in Mice Infected with Non‐Tuberculous Mycobacteria Belonging to the MAIS‐Group. Scandinavian Journal of Immunology. 46(1). 16–26. 29 indexed citations
9.
Zlotta, Alexandre R., Annie Drowart, Jean‐Paul Van Vooren, et al.. (1997). Evolution and clinical significance of the T cell proliferative and cytokine response directed against the fibronectin binding antigen 85 complex of bacillus Calmette-Guerin during intravesical treatment of superficial bladder cancer.. PubMed. 157(2). 492–8. 39 indexed citations
12.
Huygen, Kris, E Lozes, Benjamin Gilles, et al.. (1994). Mapping of TH1 helper T-cell epitopes on major secreted mycobacterial antigen 85A in mice infected with live Mycobacterium bovis BCG. Infection and Immunity. 62(2). 363–370. 97 indexed citations
13.
Huygen, Kris, et al.. (1990). Antibody repertoire against culture filtrate antigens in wild house mice infected withMycobacterium bovisBCG. Clinical & Experimental Immunology. 82(2). 369–372. 9 indexed citations
14.
Huygen, Kris, Kamiel Palfliet, Fabienne Jurion, et al.. (1988). H-2-linked control of in vitro gamma interferon production in response to a 32-kilodalton antigen (P32) of Mycobacterium bovis bacillus Calmette-Guérin. Infection and Immunity. 56(12). 3196–3200. 44 indexed citations
15.
Dupont, E., et al.. (1985). INFLUENCE OF IN VIVO IMMUNOSUPPRESSIVE DRUGS ON PRODUCTION OF LYMPHOKINES. Transplantation. 39(2). 143–146. 26 indexed citations
16.
Huygen, Kris & Kamiel Palfliet. (1984). Strain variation in interferon γ production of BCG-sensitized mice challenged with PPD. Cellular Immunology. 85(1). 75–81. 48 indexed citations
17.
Dupont, Étienne, et al.. (1984). Depressed natural killer function in transplant recipients: an analysis.. PubMed. 16(6). 1506–8. 1 indexed citations
18.
Huygen, Kris & Kamiel Palfliet. (1983). In Vitro Production of Gamma Interferon is Dependent on the Mouse Genotype. Journal of Interferon Research. 3(1). 129–137. 8 indexed citations
19.
Huygen, Kris & Kamiel Palfliet. (1983). Strain variation in interferon γ production of BCG-sensitized mice challenged with PPD. Cellular Immunology. 80(2). 329–334. 18 indexed citations
20.
Huygen, Kris & Kamiel Palfliet. (1982). Influence of in vivo interferon treatment on mitogen responsiveness of T- and B-cells is dependent on the mouse genotype. Immunology Letters. 5(4). 175–180. 4 indexed citations

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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