J M Connors

1.2k total citations
16 papers, 946 citations indexed

About

J M Connors is a scholar working on Pathology and Forensic Medicine, Oncology and Genetics. According to data from OpenAlex, J M Connors has authored 16 papers receiving a total of 946 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Pathology and Forensic Medicine, 6 papers in Oncology and 5 papers in Genetics. Recurrent topics in J M Connors's work include Lymphoma Diagnosis and Treatment (11 papers), Chronic Lymphocytic Leukemia Research (5 papers) and Lung Cancer Treatments and Mutations (5 papers). J M Connors is often cited by papers focused on Lymphoma Diagnosis and Treatment (11 papers), Chronic Lymphocytic Leukemia Research (5 papers) and Lung Cancer Treatments and Mutations (5 papers). J M Connors collaborates with scholars based in Canada and United States. J M Connors's co-authors include Paul Klimo, Thomas P. Miller, Siân Jones, Hirota Fujiki, Donna Reece, Alonzo H. Ross, B Friedman, Marsha Rich Rosner, A. Raymond Frackelton and Takashi Sügimura and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Oncology and Endocrinology.

In The Last Decade

J M Connors

16 papers receiving 900 citations

Peers

J M Connors
Comparison fields: 5 of 66
  • Pathology and Forensic Medicine 559
  • Oncology 392
  • Genetics 285
  • Molecular Biology 209
  • Pulmonary and Respiratory Medicine 193
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Citations per field, relative to J M Connors
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Citations per year, relative to J M Connors
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Countries citing papers authored by J M Connors

Since Specialization
Citations

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

Fields of papers citing papers by J M Connors

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J M Connors. 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 M Connors. The network helps show where J M Connors may publish in the future.

Co-authorship network of co-authors of J M Connors

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

All Works

16 of 16 papers shown
# Work Indexed citations
1 2
2
The architectural pattern of FOXP3(+) T cells is an independent predictor of survival in patients with follicular lymphoma (FL)
6
3 117
4
Treatment of multiple myeloma with intensive chemotherapy followed by autologous BMT using marrow purged with 4-hydroperoxycyclophosphamide.
45
5
Allogeneic bone marrow transplantation for poor-prognosis non-Hodgkin's lymphoma.
24
6
Treatment of recurrent and metastatic head and neck cancer with cisplatin/etoposide/bleomycin.
6
7
Bone marrow transplantation in Hodgkin's disease.
2
8 8
9 149
10 33
11 90
12 49
13
An update on the Vancouver experience in the management of advanced Hodgkin's disease treated with the MOPP/ABV Hybrid program.
75
14 130
15 196
16 14

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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