Patrick Connor Johnson

1.9k citations
83 papers · 1.3k · h-index 20

Impact in

  • Oncology top 5%
    • CAR-T cell therapy research
    • Cancer survivorship and care
  • Hematology top 10%
    • Erythropoietin and Anemia Treatment
    • Iron Metabolism and Disorders

Papers in

Patrick Connor Johnson

76 papers receiving 1.3k citations

Peers

Patrick Connor Johnson
Comparison fields: 5 of 88
  • Oncology 613
  • Hematology 142
  • Pathology and Forensic Medicine 166
  • Geriatrics and Gerontology 29
  • Genetics 89
Replace Anjali R. Shah with:
Anjali R. Shah United Kingdom
Amir S. Steinberg United States
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Chan Shen United States
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Kamakshi V. Rao United States
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Citations per field
00.5×5×11.4×
Anjali R. Shah · 1×
Citations per year

Countries citing papers authored by Patrick Connor Johnson

Since Specialization
Citations

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

Fields of papers citing papers by Patrick Connor Johnson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Patrick Connor Johnson. 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 Patrick Connor Johnson. The network helps show where Patrick Connor Johnson may publish in the future.

Co-authors

The 25 scholars most cited alongside Patrick Connor Johnson, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Patrick Connor Johnson Line = papers co-authored together Patrick Connor Johnson links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 83 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017183
2 2012148
3 202369
4 201652
5 202251
6 201838
7 202336
8 202336
9 202232
10 202131
11 201931
12 201731
13 202230
14 202429
15 202328
16 202125
17 202224
18 202123
19 201522
20 201420

About Patrick Connor Johnson

Patrick Connor Johnson is a scholar working on Oncology, Pathology and Forensic Medicine, Genetics, Pediatrics, Perinatology and Child Health and Hematology, having authored 83 papers that have together received 1.3k indexed citations. Recurring topics across this work include CAR-T cell therapy research (29 papers), Lymphoma Diagnosis and Treatment (12 papers), Cancer survivorship and care (12 papers), Palliative Care and End-of-Life Issues (9 papers), Childhood Cancer Survivors' Quality of Life (8 papers), Chronic Lymphocytic Leukemia Research (5 papers), Integrated Circuits and Semiconductor Failure Analysis (4 papers) and CNS Lymphoma Diagnosis and Treatment (4 papers). The work is most often cited by research in Oncology (613 citations), Hematology (142 citations), Pathology and Forensic Medicine (166 citations), Geriatrics and Gerontology (29 citations) and Genetics (89 citations). Patrick Connor Johnson has collaborated with scholars based in United States, Germany and Slovenia. Frequent co-authors include Areej R El-Jawahri, Jeremy S. Abramson, Ryan David Nipp, Matthew J. Frigault, Jennifer S. Temel, Lara N. Traeger, Sara D’Arpino, Risa Liang Wong, Daniel E. Lage and Ephraim P. Hochberg. Their work appears in journals such as Transplantation and Cellular Therapy, The Oncologist, Blood, Blood Advances and Journal of the National Comprehensive Cancer Network.

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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