Albert Naipal

994 total citations
25 papers, 859 citations indexed

About

Albert Naipal is a scholar working on Immunology, Radiology, Nuclear Medicine and Imaging and Genetics. According to data from OpenAlex, Albert Naipal has authored 25 papers receiving a total of 859 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Immunology, 7 papers in Radiology, Nuclear Medicine and Imaging and 6 papers in Genetics. Recurrent topics in Albert Naipal's work include T-cell and B-cell Immunology (14 papers), Immune Cell Function and Interaction (12 papers) and Monoclonal and Polyclonal Antibodies Research (7 papers). Albert Naipal is often cited by papers focused on T-cell and B-cell Immunology (14 papers), Immune Cell Function and Interaction (12 papers) and Monoclonal and Polyclonal Antibodies Research (7 papers). Albert Naipal collaborates with scholars based in Netherlands, India and Belgium. Albert Naipal's co-authors include Marius J. Giphart, Bart O. Roep, Bart Van Der Auwera, Frans Gorus, Els Goulmy, Astrid G. S. van Halteren, Tuna Mutis, Anneke Brand, Robert M. Verdijk and Jos Pool and has published in prestigious journals such as The Lancet, Blood and Gastroenterology.

In The Last Decade

Albert Naipal

25 papers receiving 834 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Albert Naipal Netherlands 15 559 209 152 107 98 25 859
S. F. Goldmann Germany 13 469 0.8× 148 0.7× 278 1.8× 104 1.0× 92 0.9× 54 863
H. Noreen United States 22 748 1.3× 206 1.0× 306 2.0× 71 0.7× 332 3.4× 49 1.4k
M. J. Giphart Netherlands 18 616 1.1× 254 1.2× 86 0.6× 92 0.9× 127 1.3× 45 937
A Svejgaard Denmark 16 411 0.7× 85 0.4× 105 0.7× 58 0.5× 82 0.8× 41 831
KI Welsh United Kingdom 16 465 0.8× 191 0.9× 69 0.5× 39 0.4× 86 0.9× 29 895
S. Yoon Choo United States 12 518 0.9× 90 0.4× 124 0.8× 72 0.7× 47 0.5× 24 805
L. E. Nijenhuis Netherlands 17 255 0.5× 285 1.4× 294 1.9× 70 0.7× 98 1.0× 47 940
Beena Gulwani-Akolkar United States 16 695 1.2× 267 1.3× 52 0.3× 93 0.9× 85 0.9× 28 947
V. Lepage France 16 739 1.3× 473 2.3× 127 0.8× 124 1.2× 245 2.5× 46 1.2k
Kamal K. Mittal United States 17 494 0.9× 96 0.5× 187 1.2× 185 1.7× 70 0.7× 45 1.2k

Countries citing papers authored by Albert Naipal

Since Specialization
Citations

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

Fields of papers citing papers by Albert Naipal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Albert Naipal

This figure shows the co-authorship network connecting the top 25 collaborators of Albert Naipal. A scholar is included among the top collaborators of Albert Naipal 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 Albert Naipal. Albert Naipal 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
1.
Hurks, H. M. H., Albert Naipal, Peter de Lange, et al.. (2005). Normal HLA class I, II, and MICA gene distribution in uveal melanoma.. PubMed. 11. 1166–72. 9 indexed citations
2.
Naipal, Albert, Nelleke A. Gruis, Linda Struijk, et al.. (2002). MICA Gene Polymorphism is Not Associated With an Increased Risk for Skin Cancer. Journal of Investigative Dermatology. 118(4). 686–691. 16 indexed citations
3.
Naipal, Albert, et al.. (2000). A novel polymorphism in class I major histocompatibility complex chain related gene a (MICA) is associated with Crohn's disease. Gastroenterology. 118(4). A335–A335. 1 indexed citations
4.
Zwinderman, A. H., et al.. (1998). D6STNFa Microsatellite Locus Correlates with CTLp Frequency in Unrelated Bone Marrow Donor-Recipient Pairs. Human Immunology. 59(5). 295–301. 7 indexed citations
5.
Knijff, Peter de, R.F. Schipper, R. van der Meer, et al.. (1998). Selective co‐evolution of the D6STNFa microsatellite region with HLA class I and II loci. Tissue Antigens. 52(3). 213–219. 7 indexed citations
6.
Roep, Bart O., et al.. (1998). The genetic structure of IDDM1: two separate regions in the MHC contribute to susceptibility or protection.. VUBIR (Vrije Universiteit Brussel). 1 indexed citations
7.
Roep, Bart O., Bart Van Der Auwera, Albert Naipal, et al.. (1998). Genetic Structure of IDDM1: Two Separate Regions in the Major Histocompatibility Complex Contribute to Susceptibility or Protection. Diabetes. 47(2). 263–269. 74 indexed citations
8.
Roep, Bart O., Bart Van Der Auwera, Albert Naipal, et al.. (1998). Genetic structure of IDDM1: two separate regions in the major histocompatibility complex contribute to susceptibility or protection. Belgian Diabetes Registry. Diabetes. 47(2). 263–269. 79 indexed citations
9.
Taneja, Veena, M. J. Giphart, Willem Verduijn, et al.. (1996). Polymorphism of HLA-DRB, -DQA1, and -DQB1 in Rheumatoid Arthritis in Asian Indians. Human Immunology. 46(1). 35–41. 57 indexed citations
10.
Kluft, Cornelis, Jørgen Jespersen, Jørgen Gram, et al.. (1996). World distribution of factor V Leiden mutation. The Lancet. 347(8993). 58–59. 25 indexed citations
11.
Grubić, Zorana, Renata Žunec, Albert Naipal, A Kaštelan, & M. J. Giphart. (1995). Molecular analysis of HLA class II polymorphism in Croatians. Tissue Antigens. 46(4). 293–298. 29 indexed citations
12.
Mehra, Narinder K., Albert Naipal, Raja Rajalingam, et al.. (1994). Asian Indian HLA-DR2-, DR4-, and DR52-related DR-DQ genotypes analyzed by polymerase chain reaction based nonradioactive oligonucleotide typing unique haplotypes and a novel DR4 subtype. Human Immunology. 39(3). 202–210. 29 indexed citations
13.
Brinkman, Brigitta M. N., Marius J. Giphart, Eric L. Kaijzel, et al.. (1994). Tumor necrosis factor α-308 gene variants in relation to major histocompatibility complex alleles and Felty's syndrome. Human Immunology. 41(4). 259–266. 40 indexed citations
14.
Verduyn, Willem, Ilias I.N. Doxiadis, Jacqueline D.H. Anholts, et al.. (1993). Biotinylated DRB sequence-specific oligonucleotides Comparison to serologic HLA-DR typing of organ donors in eurotransplant. Human Immunology. 37(1). 59–67. 123 indexed citations
15.
Vijverberg, Kitty, et al.. (1990). Applicability of HLA‐DQB oligonucleotide typing for the TA10 and 2B3 specificities in routine HLA typing. Tissue Antigens. 35(4). 165–171. 7 indexed citations
16.
Osanto, Susanne, et al.. (1989). in vivo effects of combination treatment with recombinant interferon‐gamma and ‐alpha in metastatic melanoma. International Journal of Cancer. 43(6). 1001–1006. 25 indexed citations
17.
18.
Naipal, Albert, J. D‘Amaro, J. W. Bruning, A. van Leeuwen, & J. J. van Rood. (1984). Automated reading of Propidium Iodide lymphocytotoxicity tests for HLA‐DR, MB, MT typing. Tissue Antigens. 24(5). 302–306. 15 indexed citations
19.
Bruning, J. W., F.H.J. Claas, Marrie J. Kardol, et al.. (1982). Automated reading of HLA-A,B,C typing and screening. Human Immunology. 5(3). 225–231. 47 indexed citations
20.
Kardol, Marrie J., et al.. (1975). The Fluorochromasia Test Complicated by Enhanced Fluorescein Loss. Tissue Antigens. 6(1). 37–39. 6 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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