Heather Johnson

9.3k total citations
18 papers, 317 citations indexed

About

Heather Johnson is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Oncology. According to data from OpenAlex, Heather Johnson has authored 18 papers receiving a total of 317 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 7 papers in Pulmonary and Respiratory Medicine and 5 papers in Oncology. Recurrent topics in Heather Johnson's work include Prostate Cancer Diagnosis and Treatment (5 papers), Prostate Cancer Treatment and Research (5 papers) and Molecular Biology Techniques and Applications (4 papers). Heather Johnson is often cited by papers focused on Prostate Cancer Diagnosis and Treatment (5 papers), Prostate Cancer Treatment and Research (5 papers) and Molecular Biology Techniques and Applications (4 papers). Heather Johnson collaborates with scholars based in China, Sweden and United States. Heather Johnson's co-authors include Xuhui Zhang, Heqiu Zhang, Xiqin Yang, Cuimi Duan, Jenny L. Persson, Xiaoyan Feng, Margaret Farrelly, Brendon J. Coventry, Peter Hersey and Scott W. Menzies and has published in prestigious journals such as Oncogene, Scientific Reports and Journal of the American Society of Nephrology.

In The Last Decade

Heather Johnson

18 papers receiving 312 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Heather Johnson China 10 105 57 50 49 46 18 317
Xiaoqiong Tang China 11 158 1.5× 89 1.6× 102 2.0× 47 1.0× 42 0.9× 54 495
Alessia Corrado Italy 9 108 1.0× 54 0.9× 45 0.9× 33 0.7× 21 0.5× 16 318
Yuzhen Ouyang China 9 193 1.8× 56 1.0× 37 0.7× 41 0.8× 32 0.7× 17 343
Vinh Dang United States 11 104 1.0× 70 1.2× 12 0.2× 70 1.4× 32 0.7× 15 333
Huifang Huang China 10 151 1.4× 72 1.3× 57 1.1× 30 0.6× 34 0.7× 39 362
Ziyang Tan China 10 159 1.5× 90 1.6× 21 0.4× 22 0.4× 22 0.5× 20 446
Qiaoting Deng China 13 277 2.6× 56 1.0× 65 1.3× 39 0.8× 39 0.8× 28 459
Guangxu Cao China 11 117 1.1× 23 0.4× 63 1.3× 17 0.3× 66 1.4× 20 278
Mayar Allam United States 8 154 1.5× 71 1.2× 48 1.0× 20 0.4× 11 0.2× 17 356
Marta Sevieri Italy 14 162 1.5× 26 0.5× 20 0.4× 55 1.1× 15 0.3× 26 428

Countries citing papers authored by Heather Johnson

Since Specialization
Citations

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

Fields of papers citing papers by Heather Johnson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Heather Johnson

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

All Works

18 of 18 papers shown
1.
Iltis, Ana S., Glenda V. Roberts, Marva Moxey‐Mims, et al.. (2024). Practical Considerations for Sharing Race-Based Genetic Research Findings. Journal of the American Society of Nephrology. 36(4). 730–733. 1 indexed citations
2.
Johnson, Heather, Zahra El-Schich, Amjad Ali, et al.. (2022). Gene-Mutation-Based Algorithm for Prediction of Treatment Response in Colorectal Cancer Patients. Cancers. 14(8). 2045–2045. 6 indexed citations
3.
4.
Guo, Jinan, Xuhui Zhang, Heather Johnson, et al.. (2021). Non-invasive Urine Test for Molecular Classification of Clinical Significance in Newly Diagnosed Prostate Cancer Patients. Frontiers in Medicine. 8. 2 indexed citations
5.
Guo, Jinan, Xuhui Zhang, Heather Johnson, et al.. (2020). Establishing a Urine-Based Biomarker Assay for Prostate Cancer Risk Stratification. Frontiers in Cell and Developmental Biology. 8. 597961–597961. 12 indexed citations
6.
Johnson, Heather, Jinan Guo, Xuhui Zhang, et al.. (2020). Development and validation of a 25-Gene Panel urine test for prostate cancer diagnosis and potential treatment follow-up. BMC Medicine. 18(1). 376–376. 15 indexed citations
7.
Johnson, Heather, et al.. (2020). A review of the Caregiver's Feeding Style Questionnaire (CFSQ): Differences in parent-child feeding styles across geographic location, caregiver roles, and Head Start samples. University of North Florida Digital Commons (University of North Florida). 1 indexed citations
8.
Sarwar, Martuza, Azharuddin Sajid Syed Khaja, Mohammed A. Aleskandarany, et al.. (2018). The role of PIP5K1α/pAKT and targeted inhibition of growth of subtypes of breast cancer using PIP5K1α inhibitor. Oncogene. 38(3). 375–389. 36 indexed citations
9.
Yang, Xiqin, Xuhui Zhang, Qin Yu, et al.. (2018). IP-10 and RANTES as biomarkers for pulmonary tuberculosis diagnosis and monitoring. Tuberculosis. 111. 45–53. 33 indexed citations
10.
Guo, Jinan, Xuhui Zhang, Xiaoyan Feng, et al.. (2018). A Panel of Biomarkers for Diagnosis of Prostate Cancer Using Urine Samples. Anticancer Research. 38(3). 1471–1477. 10 indexed citations
11.
Xiao, Kefeng, Jinan Guo, Xuhui Zhang, et al.. (2016). Use of two gene panels for prostate cancer diagnosis and patient risk stratification. Tumor Biology. 37(8). 10115–10122. 8 indexed citations
12.
Liu, Zhiqiang, Xia Li, Cuimi Duan, et al.. (2016). A novel and simple preparative method for uniform-sized PLGA microspheres: Preliminary application in antitubercular drug delivery. Colloids and Surfaces B Biointerfaces. 145. 679–687. 26 indexed citations
13.
Xiao, Rui, Xuhui Zhang, Zhen Rong, et al.. (2016). Non-invasive detection of hepatocellular carcinoma serum metabolic profile through surface-enhanced Raman spectroscopy. Nanomedicine Nanotechnology Biology and Medicine. 12(8). 2475–2484. 65 indexed citations
14.
Liu, Zhiqiang, Xiqin Yang, Zhenhua Dai, et al.. (2016). Identification of Novel RD1 Antigens and Their Combinations for Diagnosis of Sputum Smear−/Culture+ TB Patients. BioMed Research International. 2016. 1–10. 7 indexed citations
15.
Zhang, Xuhui, Xiqin Yang, Shuofeng Hu, et al.. (2016). Vitronectin: a promising breast cancer serum biomarker for early diagnosis of breast cancer in patients. Tumor Biology. 37(7). 8909–8916. 15 indexed citations
16.
Duan, Cuimi, Xiqin Yang, Xuhui Zhang, et al.. (2015). Generation of monoclonal antibodies against MGA and comparison of their application in breast cancer detection by immunohistochemistry. Scientific Reports. 5(1). 13073–13073. 3 indexed citations
17.
Graff‐Radford, Neill R., Tanis J. Ferman, John A. Lucas, et al.. (2006). A Cost Effective Method of Identifying and Recruiting Persons Over 80 Free of Dementia or Mild Cognitive Impairment. Alzheimer Disease & Associated Disorders. 20(2). 101–104. 31 indexed citations
18.
Hersey, Peter, Scott W. Menzies, Brendon J. Coventry, et al.. (2004). Phase I/II study of immunotherapy with T-cell peptide epitopes in patients with stage IV melanoma. Cancer Immunology Immunotherapy. 54(3). 208–218. 42 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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