Pam Goodman

573 total citations
8 papers, 418 citations indexed

About

Pam Goodman is a scholar working on Pediatrics, Perinatology and Child Health, Public Health, Environmental and Occupational Health and Oncology. According to data from OpenAlex, Pam Goodman has authored 8 papers receiving a total of 418 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Pediatrics, Perinatology and Child Health, 5 papers in Public Health, Environmental and Occupational Health and 3 papers in Oncology. Recurrent topics in Pam Goodman's work include Childhood Cancer Survivors' Quality of Life (8 papers), Acute Lymphoblastic Leukemia research (5 papers) and Cancer Risks and Factors (2 papers). Pam Goodman is often cited by papers focused on Childhood Cancer Survivors' Quality of Life (8 papers), Acute Lymphoblastic Leukemia research (5 papers) and Cancer Risks and Factors (2 papers). Pam Goodman collaborates with scholars based in United States. Pam Goodman's co-authors include Wendy M. Leisenring, Leslie L. Robison, Ann C. Mertens, Janet A. Tooze, Sharon M. Castellino, Marilyn Stovall, Melissa M. Hudson, Ann M. Geiger, Gregory T. Armstrong and K. Scott Baker and has published in prestigious journals such as Blood, Cancer Epidemiology Biomarkers & Prevention and Psycho-Oncology.

In The Last Decade

Pam Goodman

8 papers receiving 412 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Pam Goodman United States	6	248	161	142	81	68	8	418
Melissa M. Hudson United States	11	178 0.7×	175 1.1×	116 0.8×	94 1.2×	40 0.6×	20	429
Kala Y. Kamdar United States	14	404 1.6×	309 1.9×	57 0.4×	150 1.9×	44 0.6×	32	691
Kyla Shelton United States	9	344 1.4×	286 1.8×	36 0.3×	97 1.2×	37 0.5×	20	636
Rachael Windsor United Kingdom	10	133 0.5×	93 0.6×	82 0.6×	163 2.0×	55 0.8×	25	422
Chloe J. Bright United Kingdom	10	163 0.7×	117 0.7×	34 0.2×	205 2.5×	45 0.7×	18	465
Edit Bárdi Austria	12	217 0.9×	146 0.9×	30 0.2×	93 1.1×	93 1.4×	25	447
Hanne Hamre Norway	14	294 1.2×	197 1.2×	29 0.2×	168 2.1×	114 1.7×	26	497
Malek Baassiri United States	6	125 0.5×	78 0.5×	54 0.4×	51 0.6×	20 0.3×	10	234
Charlotte Demoor‐Goldschmidt France	10	115 0.5×	80 0.5×	42 0.3×	86 1.1×	31 0.5×	44	309
Ardine Reedijk Netherlands	14	191 0.8×	202 1.3×	61 0.4×	144 1.8×	19 0.3×	23	500

Countries citing papers authored by Pam Goodman

Since Specialization

Citations

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

Fields of papers citing papers by Pam Goodman

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pam Goodman

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

All Works

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8 of 8 papers shown

Ketterl, Tyler G., Eric J. Chow, Pam Goodman, et al.. (2023). Impact of Hematopoietic Cell Transplantation on Cardiovascular Risk Factors and Insulin Sensitivity. Transplantation and Cellular Therapy. 30(2). 243.e1–243.e13. 4 indexed citations

Ketterl, Tyler G., Eric J. Chow, Wendy M. Leisenring, et al.. (2017). Adipokines, Inflammation, and Adiposity in Hematopoietic Cell Transplantation Survivors. Biology of Blood and Marrow Transplantation. 24(3). 622–626. 21 indexed citations

Ketterl, Tyler G., Eric J. Chow, Wendy M. Leisenring, et al.. (2017). Adipokine Concentrations and Adiposity in Hematopoietic Cell Transplant (HCT) Survivors. Biology of Blood and Marrow Transplantation. 23(3). S67–S68. 1 indexed citations

Polgreen, Lynda E., Anna Petryk, Andrew C. Dietz, et al.. (2012). Modifiable risk factors associated with bone deficits in childhood cancer survivors. BMC Pediatrics. 12(1). 40–40. 42 indexed citations

Buchbinder, David, Ann C. Mertens, Lonnie K. Zeltzer, et al.. (2012). Cancer Prevention and Screening Practices of Siblings of Childhood Cancer Survivors: A Report from the Childhood Cancer Survivor Study. Cancer Epidemiology Biomarkers & Prevention. 21(7). 1078–1088. 5 indexed citations

Buchbinder, David, Jacqueline Casillas, Kevin R. Krull, et al.. (2010). Psychological outcomes of siblings of cancer survivors: a report from the Childhood Cancer Survivor Study. Psycho-Oncology. 20(12). 1259–1268. 56 indexed citations

Castellino, Sharon M., Ann M. Geiger, Ann C. Mertens, et al.. (2010). Morbidity and mortality in long-term survivors of Hodgkin lymphoma: a report from the Childhood Cancer Survivor Study. Blood. 117(6). 1806–1816. 248 indexed citations

Ness, Kirsten K., Wendy M. Leisenring, Pam Goodman, et al.. (2008). Assessment of selection bias in clinic‐based populations of childhood cancer survivors: A report from the childhood cancer survivor study. Pediatric Blood & Cancer. 52(3). 379–386. 41 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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