Jonas J. Heymann

1.4k total citations
47 papers, 1.1k citations indexed

About

Jonas J. Heymann is a scholar working on Oncology, Epidemiology and Cancer Research. According to data from OpenAlex, Jonas J. Heymann has authored 47 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Oncology, 13 papers in Epidemiology and 12 papers in Cancer Research. Recurrent topics in Jonas J. Heymann's work include Cancer Genomics and Diagnostics (9 papers), Lung Cancer Treatments and Mutations (8 papers) and Thyroid Cancer Diagnosis and Treatment (7 papers). Jonas J. Heymann is often cited by papers focused on Cancer Genomics and Diagnostics (9 papers), Lung Cancer Treatments and Mutations (8 papers) and Thyroid Cancer Diagnosis and Treatment (7 papers). Jonas J. Heymann collaborates with scholars based in United States, Israel and Brazil. Jonas J. Heymann's co-authors include Anjali Saqi, John P. Crapanzano, Douglas F. Nixon, William A. Bulman, Gabriel M. Ortiz, Momin T. Siddiqui, Catherine A. Shu, Carlos Pagan, Joshua Sonett and Aziza Nassar and has published in prestigious journals such as Journal of Clinical Investigation, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.

In The Last Decade

Jonas J. Heymann

43 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jonas J. Heymann United States 15 334 306 289 210 171 47 1.1k
Adan Rios United States 15 465 1.4× 93 0.3× 124 0.4× 130 0.6× 235 1.4× 67 1.2k
Douglas I. Grove United States 9 109 0.3× 381 1.2× 74 0.3× 174 0.8× 219 1.3× 13 938
Markus Reiser Germany 18 203 0.6× 155 0.5× 160 0.6× 200 1.0× 220 1.3× 45 1.9k
Kate Poropatich United States 12 156 0.5× 123 0.4× 156 0.5× 112 0.5× 125 0.7× 17 601
Duilio Brugnoni Italy 20 172 0.5× 62 0.2× 108 0.4× 69 0.3× 316 1.8× 54 1.5k
Elisabetta Cariani Italy 27 282 0.8× 46 0.2× 74 0.3× 183 0.9× 331 1.9× 79 1.9k
Peter Barry United Kingdom 18 320 1.0× 44 0.1× 255 0.9× 43 0.2× 242 1.4× 59 1.1k
Daiki Miki Japan 28 225 0.7× 64 0.2× 102 0.4× 212 1.0× 562 3.3× 99 2.3k
Jimmy Hwang United States 14 144 0.4× 120 0.4× 76 0.3× 124 0.6× 182 1.1× 26 631
Maher A. Sughayer Jordan 18 293 0.9× 19 0.1× 155 0.5× 112 0.5× 218 1.3× 92 956

Countries citing papers authored by Jonas J. Heymann

Since Specialization
Citations

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

Fields of papers citing papers by Jonas J. Heymann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jonas J. Heymann. 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 Jonas J. Heymann. The network helps show where Jonas J. Heymann may publish in the future.

Co-authorship network of co-authors of Jonas J. Heymann

This figure shows the co-authorship network connecting the top 25 collaborators of Jonas J. Heymann. A scholar is included among the top collaborators of Jonas J. Heymann 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 Jonas J. Heymann. Jonas J. Heymann 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.
Roy‐Chowdhuri, Sinchita, Christine N. Booth, Jonas J. Heymann, et al.. (2025). Optimizing cytology and small biopsy specimen processing for ancillary studies: recommendations from the American Society of Cytopathology taskforce. Journal of the American Society of Cytopathology. 14(5). 285–308.
2.
3.
Singh, Bhavya, Nicholas Dopkins, Jez L. Marston, et al.. (2025). Locus-specific human endogenous retroviruses reveal lymphoma subtypes. iScience. 28(6). 112541–112541. 1 indexed citations
4.
Heymann, Jonas J., Cristiana M. Pineda, Joshua Menke, et al.. (2024). Tools, techniques, and challenges in preparing cytology specimens for ancillary studies: results of the ASC Optimizing Cytology and Small Biopsy Specimen Processing for Ancillary Studies task force survey. Journal of the American Society of Cytopathology. 14(1). 55–63. 1 indexed citations
5.
Shah, Yajas, Nikolay A. Ivanov, Scott Kulm, et al.. (2024). Developing a Predictive Model for Metastatic Potential in Pancreatic Neuroendocrine Tumor. The Journal of Clinical Endocrinology & Metabolism. 110(1). 263–274. 2 indexed citations
6.
Gokozan, Hamza N., Maria Mostyka, Theresa Scognamiglio, et al.. (2024). Diagnostic interobserver agreement for thyroid fine-needle aspirates: Effects of reviewer experience and molecular diagnostics. American Journal of Clinical Pathology. 162(3). 302–313.
7.
Gafeer, Mohamad Mazen, Susan Alperstein, Robert Appleby, et al.. (2024). Unsatisfactory Pap Test Results: A Critical Patient Management Problem Pre‐Analytically Addressed by the Cytopathology Laboratory. Diagnostic Cytopathology. 53(1). 10–17.
8.
9.
Chen, Heather, Wei Hao, Jonas J. Heymann, et al.. (2024). Changing digital and telecytology practices post COVID-19 comparing ASC survey results from 2016 to 2023. Journal of the American Society of Cytopathology. 13(3). 194–204. 4 indexed citations
10.
Heymann, Jonas J., Hamza N. Gokozan, Xavier M. Keutgen, et al.. (2023). Clinical utility of a microRNA classifier in cytologically indeterminate thyroid nodules with RAS mutations: A multi-institutional study. Surgery. 175(1). 234–240. 6 indexed citations
11.
Margolskee, Elizabeth, Abha Goyal, Momin T. Siddiqui, et al.. (2023). Optimal carcinoembryonic antigen (CEA) cutoff values in the diagnosis of neoplastic mucinous pancreatic cysts differ among assays. Journal of Clinical Pathology. 77(12). 848–852. 3 indexed citations
12.
Singh, Bhavya, Nicholas Dopkins, Jez L. Marston, et al.. (2023). A transposable element atlas of aggressive B‐cell non‐Hodgkin lymphomas defines novel classifications of Burkitt lymphoma independent of EBV status. Hematological Oncology. 41(S2). 247–247. 1 indexed citations
13.
Thomas‐Wilson, Amanda, Avinash V. Dharmadhikari, Jonas J. Heymann, et al.. (2022). Whole Exome Sequencing detects PYGM variants in two adults with McArdle disease. Molecular Case Studies. 8(2). mcs.a006173–mcs.a006173. 2 indexed citations
14.
Patel, Ami, Erika Hissong, Lin William Cong, et al.. (2021). Next-Generation Sequencing of Cell-Free DNA Extracted From Pleural Effusion Supernatant: Applications and Challenges. Frontiers in Medicine. 8. 662312–662312. 8 indexed citations
15.
Sung, Simon, Jonas J. Heymann, John P. Crapanzano, et al.. (2020). Lung cancer cytology and small biopsy specimens: diagnosis, predictive biomarker testing, acquisition, triage, and management. Journal of the American Society of Cytopathology. 9(5). 332–345. 25 indexed citations
16.
Fulmer, Clifton G., Kyung Park, Susan Alperstein, et al.. (2020). Next‐generation sequencing of residual cytologic fixative preserved DNA from pancreatic lesions: A pilot study. Cancer Cytopathology. 128(11). 840–851. 10 indexed citations
17.
Heymann, Jonas J., et al.. (2019). Quadravalvular Noninfectious Endocarditis. SHILAP Revista de lepidopterología. 1(3). 350–354. 4 indexed citations
18.
Heymann, Jonas J. & Momin T. Siddiqui. (2019). Ancillary Techniques in Cytologic Specimens Obtained from Solid Lesions of the Pancreas: A Review. Acta Cytologica. 64(1-2). 103–123. 3 indexed citations
19.
Harigopal, Malini, Jonas J. Heymann, Sriparna Ghosh, et al.. (2008). Estrogen receptor co-activator (AIB1) protein expression by automated quantitative analysis (AQUA) in a breast cancer tissue microarray and association with patient outcome. Breast Cancer Research and Treatment. 115(1). 77–85. 40 indexed citations
20.
Rakoff-Nahoum, Seth, Peter Kuebler, Jonas J. Heymann, et al.. (2006). Detection of T Lymphocytes Specific for Human Endogenous Retrovirus K (HERV-K) in Patients with Seminoma. AIDS Research and Human Retroviruses. 22(1). 52–56. 50 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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