D W Lancki

4.4k citations
53 papers · 3.6k · h-index 31

Impact in

  • Immunology top 0.5%
    • T-cell and B-cell Immunology
    • Immune Cell Function and Interaction
    • Immunotherapy and Immune Responses
    • Immune Response and Inflammation
  • Hematology top 2%
    • Acute Myeloid Leukemia Research

Papers in

D W Lancki

52 papers receiving 3.5k citations

Peers

D W Lancki
Comparison fields: 5 of 101
  • Immunology 2.3k
  • Hematology 393
  • Immunology and Allergy 165
  • Oncology 508
  • Radiology, Nuclear Medicine and Imaging 356
Replace A Alpert with:
A Alpert Canada
Nobuo Sakaguchi Japan
Richard H. Weisbart United States
Patricia A. Temple United States
Frans M.A. Hofhuis Netherlands
J Wignall United States
T Otsuka Japan
Soo Young Yang United States
Toshiko Sakihama Japan
Henry H. Wortis United States
D W Lancki relative to A Alpert Canada A Alpert's profile →
Citations per field
00.5×5.5×
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Citations per year

Countries citing papers authored by D W Lancki

Since Specialization
Citations

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

Fields of papers citing papers by D W Lancki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside D W Lancki, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with D W Lancki Line = papers co-authored together D W Lancki links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 53 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006487
2 2003299
3 1993298
4 2002225
5 2003204
6 1982202
7 2008183
8 2004182
9 1994122
10 1986109
11 199191
12 199277
13 200871
14 198762
15 199362
16 199357
17 198753
18 198652
19 198551
20 199950

About D W Lancki

D W Lancki is a scholar working on Immunology, Radiology, Nuclear Medicine and Imaging, Oncology, Molecular Biology and Genetics, having authored 53 papers that have together received 3.6k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (30 papers), Immune Cell Function and Interaction (25 papers), Monoclonal and Polyclonal Antibodies Research (24 papers), Immunotherapy and Immune Responses (15 papers), CAR-T cell therapy research (10 papers), Glycosylation and Glycoproteins Research (4 papers), Herpesvirus Infections and Treatments (2 papers) and Cytomegalovirus and herpesvirus research (2 papers). The work is most often cited by research in Immunology (2.3k citations), Hematology (393 citations), Immunology and Allergy (165 citations), Oncology (508 citations) and Radiology, Nuclear Medicine and Imaging (356 citations). D W Lancki has collaborated with scholars based in United States, Germany and Russia. Frequent co-authors include Frank W. Fitch, Harinder Singh, Peter Laslo, Thomas F. Gajewski, Kay L. Medina, F W Fitch, M D McKisic, Hyun‐Jun Lee, Jonathan Walsh and Jagan M.R. Pongubala. Their work appears in journals such as The Journal of Immunology, The Journal of Experimental Medicine, Proceedings of the National Academy of Sciences, Transplantation and Immunological Reviews.

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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