Pamela Lynch

9 total papers · 1.5k total citations
8 papers, 1.2k citations indexed

About

Pamela Lynch is a scholar working on Oncology, General Health Professions and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Pamela Lynch has authored 8 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Oncology, 2 papers in General Health Professions and 2 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Pamela Lynch's work include Cancer survivorship and care (3 papers), Childhood Cancer Survivors' Quality of Life (2 papers) and Palliative Care and End-of-Life Issues (2 papers). Pamela Lynch is often cited by papers focused on Cancer survivorship and care (3 papers), Childhood Cancer Survivors' Quality of Life (2 papers) and Palliative Care and End-of-Life Issues (2 papers). Pamela Lynch collaborates with scholars based in United Kingdom, Ireland and United States. Pamela Lynch's co-authors include Peter J. Selby, Galina Velikova, Adam B. Smith, Paul Brown, Julia Brown, Laura Booth, Penny Wright, Mary Kiely, A. Cull and John Grundy and has published in prestigious journals such as Journal of Clinical Oncology, Computers in Human Behavior and British Journal of Cancer.

In The Last Decade

Pamela Lynch

8 papers receiving 1.1k citations

Hit Papers

Measuring Quality of Life... 2004 2026 2011 2018 2004 250 500 750 1000

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Pamela Lynch 689 423 328 291 164 8 1.2k
Laura Booth 858 1.2× 510 1.2× 368 1.1× 357 1.2× 199 1.2× 9 1.4k
Alison Harrow 502 0.7× 282 0.7× 184 0.6× 221 0.8× 108 0.7× 11 1.1k
James Holland 641 0.9× 249 0.6× 194 0.6× 207 0.7× 111 0.7× 6 1.3k
ML Slevin 478 0.7× 241 0.6× 187 0.6× 191 0.7× 170 1.0× 11 1.2k
Eva Greimel 585 0.8× 274 0.6× 186 0.6× 192 0.7× 106 0.6× 20 1.1k
B. R. Catchlove 391 0.6× 265 0.6× 215 0.7× 255 0.9× 301 1.8× 14 1.3k
Laura A. Levit 536 0.8× 471 1.1× 162 0.5× 322 1.1× 361 2.2× 18 1.2k
Sarah Rosenbloom 517 0.8× 268 0.6× 309 0.9× 131 0.5× 241 1.5× 25 1.4k
Eric van Rijswijk 499 0.7× 397 0.9× 159 0.5× 325 1.1× 107 0.7× 30 1.3k
Jessica Drinkwater 309 0.4× 303 0.7× 176 0.5× 408 1.4× 218 1.3× 28 1.3k

Countries citing papers authored by Pamela Lynch

Since Specialization
Citations

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

Fields of papers citing papers by Pamela Lynch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pamela Lynch

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

All Works

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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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