K John
- Co-authors
- Attilio OraziRichard S. NeimanGiorgio CattorettiNyla A. HeeremaCraig R. NicholsThomas M. UlbrightCheng‐Yen ChenAntoinette F. Hood
- Topics
- Acute Myeloid Leukemia Research (4 papers)Hematological disorders and diagnostics (3 papers)Lymphoma Diagnosis and Treatment (3 papers)
- Partner nations
- United StatesItalyGermany
In The Last Decade
K John
16 papers receiving 365 citations
Peers
Comparison fields: 5 of 60
- Hematology 118
- Oncology 100
- Pathology and Forensic Medicine 89
- Molecular Biology 77
- Genetics 68
Countries citing papers authored by K John
This map shows the geographic impact of K John'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 John with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites K John more than expected).
Fields of papers citing papers by K John
This network shows the impact of papers produced by K John. 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 John. The network helps show where K John may publish in the future.
Co-authorship network of co-authors of K John
This figure shows the co-authorship network connecting the top 25 collaborators of K John. A scholar is included among the top collaborators of K John 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 John. K John is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 42 | |
| 4 | 57 | |
| 5 | 013 (CD99) positivity in hematologic proliferations correlates with TdT positivity. | 26 |
| 6 | p53 overexpression in myeloid leukemic disorders is associated with increased apoptosis of hematopoietic marrow cells and ineffective hematopoiesis. | 20 |
| 7 | 28 | |
| 8 | 4 | |
| 9 | 25 | |
| 10 | Assessment of cell proliferation in paraffin sections of normal bone marrow by the monoclonal antibodies Ki-67 and PCNA. | 33 |
| 11 | 19 | |
| 12 | Terminal deoxynucleotidyl transferase staining of malignant lymphomas in paraffin sections. | 26 |
| 13 | 67 | |
| 14 | Frequent p53 overexpression in therapy related myelodysplastic syndromes and acute myeloid leukemias: an immunohistochemical study of bone marrow biopsies. | 22 |
| 15 | [Prognostic value of hyperkinetic syndrome in children with epilepsy]. | 2 |
| 16 | [Panmyelopathy in combined epilepsy therapy using ethosuccimide, diphenylhydantoin, and phenobarbital in childhood]. | 1 |
About K John
K John is a scholar working on Hematology, Transplantation and Emergency Medicine, having authored 16 papers that have together received 374 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (4 papers), Hematological disorders and diagnostics (3 papers) and Lymphoma Diagnosis and Treatment (3 papers). The work is most often cited by research in Hematology (118 citations), Genetics (68 citations) and Pathology and Forensic Medicine (89 citations). K John has collaborated with scholars based in United States, Italy and Germany. Frequent co-authors include Attilio Orazi, Richard S. Neiman, Giorgio Cattoretti, Nyla A. Heerema, Craig R. Nichols, Thomas M. Ulbright, Cheng‐Yen Chen, Antoinette F. Hood, Carol Schnizlein‐Bick and Stanley M. Spinola. Their work appears in journals such as Cancer, Journal of Virology and The Journal of Infectious Diseases.
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.