K Nocka

2.2k total citations · 1 hit paper
15 papers, 2.0k citations indexed

About

K Nocka is a scholar working on Immunology, Molecular Biology and Hematology. According to data from OpenAlex, K Nocka has authored 15 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Immunology, 8 papers in Molecular Biology and 5 papers in Hematology. Recurrent topics in K Nocka's work include Mast cells and histamine (7 papers), Cell Adhesion Molecules Research (3 papers) and Acute Myeloid Leukemia Research (2 papers). K Nocka is often cited by papers focused on Mast cells and histamine (7 papers), Cell Adhesion Molecules Research (3 papers) and Acute Myeloid Leukemia Research (2 papers). K Nocka collaborates with scholars based in United States, France and Canada. K Nocka's co-authors include Peter Besmer, Prabir Ray, Jochen Buck, Tang‐Yuan Chu, Jimmy Tan, Paula Traktman, E. K. W. Chiu, Alan Bernstein, Benoı̂t Chabot and Eric J. Huang and has published in prestigious journals such as Genes & Development, The EMBO Journal and Blood.

In The Last Decade

K Nocka

15 papers receiving 1.9k citations

Hit Papers

Molecular bases of dominant negative and loss of function... 1990 2026 2002 2014 1990 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
K Nocka United States 12 865 831 419 309 273 15 2.0k
Allison M. Baird United States 7 748 0.9× 938 1.1× 490 1.2× 260 0.8× 187 0.7× 8 1.9k
Tatsuo Kina Japan 18 648 0.7× 1.1k 1.4× 632 1.5× 154 0.5× 163 0.6× 45 2.0k
LK Ashman Australia 23 579 0.7× 1.4k 1.6× 577 1.4× 542 1.8× 336 1.2× 40 2.0k
T Furitsu Japan 18 709 0.8× 1.6k 1.9× 449 1.1× 473 1.5× 336 1.2× 28 2.2k
Antoinette Hatzfeld France 27 1.1k 1.3× 551 0.7× 814 1.9× 141 0.5× 119 0.4× 74 2.2k
SD Lyman United States 26 904 1.0× 1.4k 1.7× 1.4k 3.3× 271 0.9× 284 1.0× 33 3.1k
Susan Schlenner Belgium 22 754 0.9× 1.6k 1.9× 537 1.3× 221 0.7× 264 1.0× 38 2.4k
Myrtle Y. Gordon United Kingdom 22 914 1.1× 511 0.6× 1.0k 2.4× 159 0.5× 145 0.5× 60 2.3k
Matthias Titeux France 29 1.1k 1.2× 350 0.4× 1.0k 2.4× 163 0.5× 233 0.9× 80 2.6k
G Dewald United States 23 836 1.0× 759 0.9× 942 2.2× 180 0.6× 170 0.6× 41 2.3k

Countries citing papers authored by K Nocka

Since Specialization
Citations

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

Fields of papers citing papers by K Nocka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of K Nocka

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

All Works

15 of 15 papers shown
1.
Thomson, Neil C., Rekha Chaudhuri, Mark Spears, et al.. (2014). Arachidonic acid metabolites and enzyme transcripts in asthma are altered by cigarette smoking. Allergy. 69(4). 527–536. 21 indexed citations
6.
Huang, Eric J., K Nocka, Jochen Buck, & Peter Besmer. (1992). Differential expression and processing of two cell associated forms of the kit-ligand: KL-1 and KL-2.. Molecular Biology of the Cell. 3(3). 349–362. 276 indexed citations
7.
Nocka, K, et al.. (1991). Monoclonal antibody YB5.B8 identifies the human c-kit protein product. Blood. 77(9). 1876–1883. 139 indexed citations
8.
Nocka, K, et al.. (1991). Monoclonal antibody YB5.B8 identifies the human c-kit protein product. Blood. 77(9). 1876–1883. 11 indexed citations
9.
Nocka, K, Jimmy Tan, E. K. W. Chiu, et al.. (1990). Molecular bases of dominant negative and loss of function mutations at the murine c-kit/white spotting locus: W37, Wv, W41 and W.. The EMBO Journal. 9(6). 1805–1813. 520 indexed citations breakdown →
10.
Bernstein, Alan, Benoı̂t Chabot, Patrice Dubreuil, et al.. (1990). The mouse W/c-kit locus.. PubMed. 148. 158–66; discussion 166. 75 indexed citations
11.
Nocka, K, Jochen Buck, E. Levi, & Peter Besmer. (1990). Candidate ligand for the c-kit transmembrane kinase receptor: KL, a fibroblast derived growth factor stimulates mast cells and erythroid progenitors.. The EMBO Journal. 9(10). 3287–3294. 263 indexed citations
12.
Nocka, K, Benoı̂t Chabot, Prabir Ray, et al.. (1989). Expression of c-kit gene products in known cellular targets of W mutations in normal and W mutant mice--evidence for an impaired c-kit kinase in mutant mice.. Genes & Development. 3(6). 816–826. 437 indexed citations
13.
Hume, Clifford R., et al.. (1988). Constitutive c-myc expression enhances the response of murine mast cells to IL-3, but does not eliminate their requirement for growth factors.. PubMed. 2(3). 223–6. 13 indexed citations
15.
Ottmann, Oliver G., K Nocka, Malcolm A.S. Moore, & Louis M. Pelus. (1988). Differential expression of class II MHC antigens in subpopulations of human hematopoietic progenitor cells.. PubMed. 2(10). 677–86. 10 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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