Peter Johnson

40.2k citations
612 papers · 23.8k indexed · 7 hit papers · h-index 78

Peter Johnson

593 papers receiving 23.0k citations

Hit Papers

Dose escalat...2121996202620062016200400600

Peers

Peter Johnson
Comparison fields: 5 of 203
  • Pathology and Forensic Medicine 7.8k
  • Genetics 3.6k
  • Immunology 7.0k
  • Oncology 7.5k
  • Obstetrics and Gynecology 1.6k
Replace Julian Peto with:
Julian Peto United Kingdom
Susan S. Devesa United States
Luis A. Díaz United States
Raghu Kalluri United States
Daniel J. Hicklin United States
Manel Esteller Spain
Kari Hemminki Sweden
Armando Santoro Italy
Lee M. Nadler United States
Susan Groshen United States
Peter Johnson relative to Julian Peto United Kingdom Julian Peto's profile →
Citations per field
00.5×3.5×
Julian Peto · 1×
Citations per year

Countries citing papers authored by Peter Johnson

Since Specialization
Citations

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

Fields of papers citing papers by Peter Johnson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Peter 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 Peter Johnson Line = papers co-authored together Peter Johnson links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20241
2 20240
3 202310
4 20226
5 202221
6 20203
7 201819
8 201654
9 2014106
10 2013148
11 201334
12 2013119
13 201321
14 2010241
15
Anti-CD22 immunoconjugate inotuzumab ozogamicin (CMC-544) + rituximab: clinical activity in patients with relapsed/refractory follicular or 'aggressive' lymphoma
20102
16 2009124
17 20078
18
Response-adapted therapy using FDG-PET scanning after initial ABVD: the UK NCRI, Italian and Nordic trial in advanced Hodgkin lymphoma
20071
19 200355
20 19808

About Peter Johnson

Peter Johnson is a scholar working on Pathology and Forensic Medicine, Genetics and Immunology, having authored 612 papers that have together received 23.8k indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (195 papers), Chronic Lymphocytic Leukemia Research (84 papers), Monoclonal and Polyclonal Antibodies Research (78 papers), Reproductive System and Pregnancy (59 papers), Lung Cancer Treatments and Mutations (54 papers), CAR-T cell therapy research (44 papers), Immune Cell Function and Interaction (40 papers) and Pregnancy and preeclampsia studies (36 papers). The work is most often cited by research in Pathology and Forensic Medicine (7.8k citations), Genetics (3.6k citations) and Immunology (7.0k citations). Peter Johnson has collaborated with scholars based in United Kingdom, United States and Italy. Frequent co-authors include Martin J. Glennie, Judith N. Bulmer, W. Pagé Faulk, John Radford, Graham Packham, Keith W. Caldecott, Mark S. Cragg, Ruth R. French, Saïd Aoufouchi and Andrew Jack. Their work appears in journals such as Blood, Journal of Clinical Oncology, Journal of Reproductive Immunology, Hematological Oncology and British Journal of Haematology.

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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