K Nocka
- Immunology and Allergy top 2%
- Cell Adhesion Molecules Research 3
- Immunology top 5%
- Mast cells and histamine 7
- Immunotherapy and Immune Responses 2
- Hematology top 2%
- Acute Myeloid Leukemia Research 2
- Platelet Disorders and Treatments 2
- Hematopoietic Stem Cell Transplantation 2
- Genetics top 5%
- Gastroenterology top 5%
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- Erythrocyte Function and Pathophysiology 2
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- Cancer-related gene regulation 2
- Co-authors
- Peter BesmerPrabir RayJochen BuckE. K. W. ChiuPaula TraktmanJimmy TanTang‐Yuan ChuBenoı̂t Chabot
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
K Nocka
15 papers receiving 1.9k citations
Hit Papers
Peers
Comparison fields: 5 of 79
- Immunology and Allergy 309
- Immunology 831
- Hematology 419
- Genetics 233
- Gastroenterology 110
Countries citing papers authored by K Nocka
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
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
The 25 scholars most cited alongside K Nocka, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 21 | |
| 2 | 2009 | 2 | |
| 3 | 1996 | 33 | |
| 4 | 1996 | 120 | |
| 5 | 1996 | 10 | |
| 6 | 1992 | 276 | |
| 7 | 1991 | 139 | |
| 8 | 1991 | 11 | |
| 9 | Molecular bases of dominant negative and loss of function mutations at the murine c-kit/white spotting locus: W37, Wv, W41 and W.breakdown → | 1990 | 520 |
| 10 | 1990 | 263 | |
| 11 | The mouse W/c-kit locus. | 1990 | 75 |
| 12 | 1989 | 437 | |
| 13 | Constitutive c-myc expression enhances the response of murine mast cells to IL-3, but does not eliminate their requirement for growth factors. | 1988 | 13 |
| 14 | 1988 | 44 | |
| 15 | Differential expression of class II MHC antigens in subpopulations of human hematopoietic progenitor cells. | 1988 | 10 |
About K Nocka
K Nocka is a scholar working on Immunology and Allergy, Immunology and Hematology, having authored 15 papers that have together received 2.0k indexed citations. Recurring topics across this work include Mast cells and histamine (7 papers), Cell Adhesion Molecules Research (3 papers), Acute Myeloid Leukemia Research (2 papers), Platelet Disorders and Treatments (2 papers), Immunotherapy and Immune Responses (2 papers), Erythrocyte Function and Pathophysiology (2 papers), Hematopoietic Stem Cell Transplantation (2 papers) and Cancer-related gene regulation (2 papers). The work is most often cited by research in Immunology and Allergy (309 citations), Immunology (831 citations) and Hematology (419 citations). K Nocka has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Peter Besmer, Prabir Ray, Jochen Buck, E. K. W. Chiu, Paula Traktman, Jimmy Tan, Tang‐Yuan Chu, Benoı̂t Chabot, Alan Bernstein and Eric J. Huang. Their work appears in journals such as Blood, The EMBO Journal, Molecular Biology of the Cell, The Journal of Immunology and Genes & Development.
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.