Jim Doherty

939 citations
38 papers · 712 · h-index 14

Impact in

  • Oncology top 10%
    • Cancer Immunotherapy and Biomarkers
    • Colorectal Cancer Treatments and Studies
    • Lung Cancer Research Studies
    • HER2/EGFR in Cancer Research
    • Lung Cancer Treatments and Mutations

Papers in

Jim Doherty

37 papers receiving 670 citations

Peers

Jim Doherty
Comparison fields: 5 of 127
  • Oncology 216
  • Pulmonary and Respiratory Medicine 161
  • Cancer Research 51
  • Gender Studies 31
  • Education 88
Replace Barry D. Mann with:
Barry D. Mann United States
Michiko Iwasaki United States
Catarina Brandão Portugal
Edward O’Connor United States
Wenhong Chen China
A. M. Henderson United States
Karin Zimmermann Germany
Deborah Cragun United States
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Citations per field
00.5×4.5×
Barry D. Mann · 1×
Citations per year

Countries citing papers authored by Jim Doherty

Since Specialization
Citations

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

Fields of papers citing papers by Jim Doherty

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018153
2 2014117
3 200973
4 202046
5 200141
6 200436
7 198532
8 201827
9 198817
10 201517
11
SDN and NFV Simplified: A Visual Guide to Understanding Software Defined Networks and Network Function Virtualization
201616
12 198515
13 201413
14 198013
15 201712
16 19848
17 19887
18 20147
19 20076
20 19846

About Jim Doherty

Jim Doherty is a scholar working on Education, Pulmonary and Respiratory Medicine, Oncology, Experimental and Cognitive Psychology and Reproductive Medicine, having authored 38 papers that have together received 712 indexed citations. Recurring topics across this work include Ovarian cancer diagnosis and treatment (3 papers), Cancer Immunotherapy and Biomarkers (3 papers), Lung Cancer Treatments and Mutations (3 papers), Gender Roles and Identity Studies (2 papers), Health Systems, Economic Evaluations, Quality of Life (2 papers), Occupational Therapy Practice and Research (2 papers), Cancer Genomics and Diagnostics (2 papers) and BRCA gene mutations in cancer (2 papers). The work is most often cited by research in Oncology (216 citations), Pulmonary and Respiratory Medicine (161 citations), Cancer Research (51 citations), Gender Studies (31 citations) and Education (88 citations). Jim Doherty has collaborated with scholars based in United States, United Kingdom and Japan. Frequent co-authors include Paul B. Robbins, Margarita Udall, Maria L. Rizzo, E.C. Faulkner, James E. Veney, Edward C. Norton, Shunichi Fukuhara, Jennifer Roberts, Yosuke Yamamoto and John Brazier. Their work appears in journals such as Educational Studies, Educational Review, Diagnostic Pathology, Alzheimer s & Dementia and Journal of Clinical Oncology.

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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