J. Lim
Impact in
- Pathology and Forensic Medicine top 10%
- Lymphoma Diagnosis and Treatment
- Hematology top 10%
- Acute Myeloid Leukemia Research
- Hematopoietic Stem Cell Transplantation
Papers in
- Genetics 6
- Chronic Lymphocytic Leukemia Research 5
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- Lymphoma Diagnosis and Treatment 6
- Co-authors
- Tim Lister (6 shared papers)A. Z. S. Rohatiner (4 shared papers)AS Freedman (1 shared paper)Lee M. Nadler (1 shared paper)J. Amess (6 shared papers)Jeremy Whelan (3 shared papers)Amit M. Oza (5 shared papers)Walter M. Gregory (4 shared papers)
- Journals
- Annals of Oncology (4 papers)British Journal of Cancer (2 papers)British Journal of Haematology (1 paper)Hematological Oncology (1 paper)Sexually Transmitted Infections (1 paper)
- Partner nations
- United KingdomItalySpain
In The Last Decade
J. Lim
13 papers receiving 339 citations
Peers
Comparison fields: 5 of 36
- Pathology and Forensic Medicine 187
- Hematology 109
- Genetics 88
- Gastroenterology 24
- Oncology 103
Countries citing papers authored by J. Lim
This map shows the geographic impact of J. Lim'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 J. Lim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J. Lim more than expected).
Fields of papers citing papers by J. Lim
This network shows the impact of papers produced by J. Lim. 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 J. Lim. The network helps show where J. Lim may publish in the future.
Co-authors
The 25 scholars most cited alongside J. Lim, 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 | 1994 | 96 | |
| 2 | Fludarabine in low-grade lymphoma. | 1993 | 58 |
| 3 | 1990 | 42 | |
| 4 | 1993 | 34 | |
| 5 | 1990 | 34 | |
| 6 | 1993 | 32 | |
| 7 | 1992 | 18 | |
| 8 | 1995 | 15 | |
| 9 | 1991 | 13 | |
| 10 | 1992 | 7 | |
| 11 | 1990 | 5 | |
| 12 | 1991 | 5 | |
| 13 | 1990 | 1 |
About J. Lim
J. Lim is a scholar working on Genetics, Pathology and Forensic Medicine, Hematology, Oncology and Public Health, Environmental and Occupational Health, having authored 13 papers that have together received 360 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (6 papers), Lymphoma Diagnosis and Treatment (6 papers), Chronic Lymphocytic Leukemia Research (5 papers), Acute Lymphoblastic Leukemia research (3 papers), Viral-associated cancers and disorders (2 papers), Neutropenia and Cancer Infections (2 papers), Chronic Myeloid Leukemia Treatments (1 paper) and Histone Deacetylase Inhibitors Research (1 paper). The work is most often cited by research in Pathology and Forensic Medicine (187 citations), Hematology (109 citations), Genetics (88 citations), Gastroenterology (24 citations) and Oncology (103 citations). J. Lim has collaborated with scholars based in United Kingdom, Italy and Spain. Frequent co-authors include Tim Lister, A. Z. S. Rohatiner, AS Freedman, Lee M. Nadler, J. Amess, Jeremy Whelan, Amit M. Oza, Walter M. Gregory, A. Z. S. Rohatiner and Catherine L. Davis. Their work appears in journals such as Annals of Oncology, British Journal of Cancer, British Journal of Haematology, Hematological Oncology and Sexually Transmitted Infections.
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.