Julia A. Goodwin

624 total citations
20 papers, 436 citations indexed

About

Julia A. Goodwin is a scholar working on Oncology, Public Health, Environmental and Occupational Health and Infectious Diseases. According to data from OpenAlex, Julia A. Goodwin has authored 20 papers receiving a total of 436 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Oncology, 6 papers in Public Health, Environmental and Occupational Health and 3 papers in Infectious Diseases. Recurrent topics in Julia A. Goodwin's work include Palliative Care and End-of-Life Issues (6 papers), Cancer survivorship and care (4 papers) and Frailty in Older Adults (3 papers). Julia A. Goodwin is often cited by papers focused on Palliative Care and End-of-Life Issues (6 papers), Cancer survivorship and care (4 papers) and Frailty in Older Adults (3 papers). Julia A. Goodwin collaborates with scholars based in United States and Denmark. Julia A. Goodwin's co-authors include Elizabeth Ann Coleman, Carol Beth Stewart, Robert L. Kennedy, Elias Anaissie, Carol Enderlin, Kathy C. Richards, Sharon K. Coon, Bart Barlogie, Jean C. McSweeney and Qiongshi Lu and has published in prestigious journals such as Cancer, Scientific Reports and Journal of Pain and Symptom Management.

In The Last Decade

Julia A. Goodwin

19 papers receiving 424 citations

Peers

Julia A. Goodwin
Carol Beth Stewart United States
Patricia Ford United States
Choi Wan Chan Hong Kong
D. Storey United Kingdom
Marci Clark United States
Pleun J. de Raaf Netherlands
Mary Ann Morgan United States
Richard W. Seidel United States
Susan C. Locke United States
Julie A. Murphy United States
Carol Beth Stewart United States
Julia A. Goodwin
Citations per year, relative to Julia A. Goodwin Julia A. Goodwin (= 1×) peers Carol Beth Stewart

Countries citing papers authored by Julia A. Goodwin

Since Specialization
Citations

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

Fields of papers citing papers by Julia A. Goodwin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Julia A. Goodwin. 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 Julia A. Goodwin. The network helps show where Julia A. Goodwin may publish in the future.

Co-authorship network of co-authors of Julia A. Goodwin

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

All Works

20 of 20 papers shown
1.
Schmitz, Lauren, Wei Zhao, Scott M. Ratliff, et al.. (2021). The Socioeconomic Gradient in Epigenetic Ageing Clocks: Evidence from the Multi-Ethnic Study of Atherosclerosis and the Health and Retirement Study. Epigenetics. 17(6). 589–611. 74 indexed citations
2.
Schmitz, Lauren, Julia A. Goodwin, Jiacheng Miao, Qiongshi Lu, & Dalton Conley. (2021). The impact of late-career job loss and genetic risk on body mass index: Evidence from variance polygenic scores. Scientific Reports. 11(1). 7647–7647. 12 indexed citations
3.
Apewokin, Senu, Jeannette Y. Lee, Julia A. Goodwin, et al.. (2018). Host genetic susceptibility to Clostridium difficile infections in patients undergoing autologous stem cell transplantation: a genome-wide association study. Supportive Care in Cancer. 26(9). 3127–3134. 2 indexed citations
4.
Apewokin, Senu, Julia A. Goodwin, Stephen W. Erickson, et al.. (2015). Contribution ofClostridium difficileinfection to the development of lower gastrointestinal adverse events during autologous stem cell transplantation. Transplant Infectious Disease. 17(4). 566–573. 1 indexed citations
5.
Coleman, Elizabeth Ann, Jeannette Y. Lee, Stephen W. Erickson, et al.. (2014). GWAS of 972 autologous stem cell recipients with multiple myeloma identifies 11 genetic variants associated with chemotherapy-induced oral mucositis. Supportive Care in Cancer. 23(3). 841–849. 20 indexed citations
6.
Apewokin, Senu, Elizabeth Coleman, Carol Enderlin, et al.. (2014). 438Genetic Variants Associated with the Development of Clostridium Difficile Infection during Autologous Stemcell Transplantation. Open Forum Infectious Diseases. 1(suppl_1). S166–S167. 1 indexed citations
7.
Garner, Kimberly K., Julia A. Goodwin, Jean C. McSweeney, & JoAnn E. Kirchner. (2012). Nurse Executives' Perceptions of End-of-Life Care Provided in Hospitals. Journal of Pain and Symptom Management. 45(2). 235–243. 33 indexed citations
8.
Goodwin, Julia A., et al.. (2012). Patient reasoning in palliative surgical oncology. Journal of Surgical Oncology. 107(4). 372–375. 12 indexed citations
9.
Enderlin, Carol, Elizabeth Ann Coleman, David Davila, et al.. (2012). Sleep Measured by Polysomnography in Patients Receiving High-Dose Chemotherapy for Multiple Myeloma Prior to Stem Cell Transplantation. Oncology nursing forum. 40(1). 73–81. 9 indexed citations
10.
Goodwin, Julia A., et al.. (2012). Personal Financial Effects of Multiple Myeloma and Its Treatment. Cancer Nursing. 36(4). 301–308. 52 indexed citations
11.
Coleman, Elizabeth Ann, Julia A. Goodwin, Robert L. Kennedy, et al.. (2012). Effects of Exercise on Fatigue, Sleep, and Performance: A Randomized Trial. Oncology nursing forum. 39(5). 468–477. 72 indexed citations
12.
Goodwin, Julia A., et al.. (2012). Patient Reasoning in Palliative Surgical Oncology. Journal of Surgical Research. 172(2). 343–343.
13.
Anaissie, Elias, Elizabeth Ann Coleman, Julia A. Goodwin, et al.. (2011). Prophylactic recombinant erythropoietin therapy and thalidomide are predictors of venous thromboembolism in patients with multiple myeloma: limited effectiveness of thromboprophylaxis. Cancer. 118(2). 549–557. 43 indexed citations
14.
Enderlin, Carol, Elizabeth Ann Coleman, Catherine Cole, et al.. (2011). Subjective Sleep Quality, Objective Sleep Characteristics, Insomnia Symptom Severity, and Daytime Sleepiness in Women Aged 50 and Older With Nonmetastatic Breast Cancer. Oncology nursing forum. 38(4). E314–E325. 31 indexed citations
15.
Coleman, Elizabeth Ann, Julia A. Goodwin, Sharon K. Coon, et al.. (2010). Fatigue, Sleep, Pain, Mood, and Performance Status in Patients With Multiple Myeloma. Cancer Nursing. 34(3). 219–227. 54 indexed citations
16.
Goodwin, Julia A.. (2007). Older Adults’ Functional Performance Loss and Adaptation During Chemotherapy. Geriatric Nursing. 28(6). 370–376. 6 indexed citations
17.
Goodwin, Julia A., Elizabeth Ann Coleman, & Jennifer L. Shaw. (2006). Short Functional Dependence Scale. Cancer Nursing. 29(1). 73–81. 5 indexed citations
18.
Coleman, Elizabeth Ann, Laura Hutchins, & Julia A. Goodwin. (2004). An overview of cancer in the older adult.. PubMed. 13(2). 75–80, 109; quiz 81. 1 indexed citations
19.
Goodwin, Julia A.. (2004). Patient advocacy: witnessing informed consent for research in acute care.. PubMed. 13(4). 227–31. 3 indexed citations
20.
Goodwin, Julia A. & Elizabeth Ann Coleman. (2003). Exploring measures of functional dependence in the older adult with cancer.. PubMed. 12(6). 359–66; quiz 367. 5 indexed citations

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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