Heidi Nyman

823 total citations
22 papers, 647 citations indexed

About

Heidi Nyman is a scholar working on Pathology and Forensic Medicine, Oncology and Immunology. According to data from OpenAlex, Heidi Nyman has authored 22 papers receiving a total of 647 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Pathology and Forensic Medicine, 5 papers in Oncology and 5 papers in Immunology. Recurrent topics in Heidi Nyman's work include Lymphoma Diagnosis and Treatment (11 papers), Immune Cell Function and Interaction (5 papers) and Chronic Lymphocytic Leukemia Research (4 papers). Heidi Nyman is often cited by papers focused on Lymphoma Diagnosis and Treatment (11 papers), Immune Cell Function and Interaction (5 papers) and Chronic Lymphocytic Leukemia Research (4 papers). Heidi Nyman collaborates with scholars based in Finland, Sweden and United Kingdom. Heidi Nyman's co-authors include Sirpa Leppä, Marja‐Liisa Karjalainen‐Lindsberg, Minna Taskinen, Gunilla Enblad, Mats Jerkeman, Carl Blomqvist, Rose‐Marie Amini, Magdalena Adde, Mattias Berglund and Alison H. Banham and has published in prestigious journals such as Blood, Clinical Cancer Research and British Journal of Haematology.

In The Last Decade

Heidi Nyman

19 papers receiving 629 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Heidi Nyman Finland 11 501 348 208 189 107 22 647
Abdulwahab J. Al-Tourah Canada 9 525 1.0× 364 1.0× 189 0.9× 150 0.8× 98 0.9× 18 616
Vít Procházka Czechia 16 423 0.8× 260 0.7× 207 1.0× 142 0.8× 99 0.9× 79 584
Birgit Federmann Germany 15 343 0.7× 298 0.9× 198 1.0× 284 1.5× 135 1.3× 45 788
Zhen Fan United States 6 392 0.8× 342 1.0× 129 0.6× 90 0.5× 135 1.3× 8 586
Johan Linderoth Sweden 12 408 0.8× 276 0.8× 171 0.8× 97 0.5× 85 0.8× 24 562
H. Alejandro Preti United States 13 439 0.9× 317 0.9× 281 1.4× 112 0.6× 58 0.5× 20 728
Vera Vanhentenrijk Belgium 12 374 0.7× 241 0.7× 219 1.1× 143 0.8× 58 0.5× 13 571
TC Greiner United States 8 709 1.4× 454 1.3× 317 1.5× 176 0.9× 111 1.0× 10 824
Kamal Bouabdallah France 11 439 0.9× 350 1.0× 237 1.1× 100 0.5× 66 0.6× 27 531
J Pierson United States 12 519 1.0× 340 1.0× 242 1.2× 141 0.7× 108 1.0× 13 651

Countries citing papers authored by Heidi Nyman

Since Specialization
Citations

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

Fields of papers citing papers by Heidi Nyman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Heidi Nyman

This figure shows the co-authorship network connecting the top 25 collaborators of Heidi Nyman. A scholar is included among the top collaborators of Heidi Nyman 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 Heidi Nyman. Heidi Nyman 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.
Gould, Raija, et al.. (2015). Osatyökyvyttömyyseläkkeen toimivuus työeläkejärjestelmässä. STM:n Hallinnonalan avoin julkaisuarkisto (Julkari).
2.
Collan, Juhani, Mika Kapanen, Antti Mäkitie, et al.. (2011). Submandibular gland-sparing intensity modulated radiotherapy in the treatment of head and neck cancer: Sites of locoregional relapse and survival. Acta Oncologica. 51(6). 735–742. 21 indexed citations
3.
Collan, Juhani, Mika Kapanen, Heidi Nyman, et al.. (2011). SIGNIFICANT CORRELATION BETWEEN SALIVARY FLOW CALCULATED USING PRE-TREATMENT SCINTIGRAPHY AND MEASURED SALIVARY FLOW AFTER RADIOTHERAPY. Radiotherapy and Oncology. 98. S33–S34.
4.
Linderoth, Johan, Heidi Nyman, Mats Ehinger, et al.. (2010). CD40 is a potential marker of favorable prognosis in patients with diffuse large B-cell lymphoma treated with immunochemotherapy. Leukemia & lymphoma. 51(9). 1643–1648. 10 indexed citations
5.
Nyman, Heidi, et al.. (2010). Prognostic impact of protein kinase C β II expression in R-CHOP-treated diffuse large B-cell lymphoma patients. Modern Pathology. 23(5). 686–693. 16 indexed citations
6.
Nyman, Heidi. (2010). PROGNOSTIC MOLECULAR FACTORS AND ALGORITHMS IN DIFFUSE LARGE B-CELL LYMPHOMA. Työväentutkimus Vuosikirja. 2 indexed citations
7.
8.
Nyman, Heidi, Mats Jerkeman, Marja‐Liisa Karjalainen‐Lindsberg, et al.. (2009). Bcl‐2 but not FOXP1, is an adverse risk factor in immunochemotherapy‐treated non‐germinal center diffuse large B‐cell lymphomas. European Journal Of Haematology. 82(5). 364–372. 29 indexed citations
9.
Nyman, Heidi, Mats Jerkeman, Marja‐Liisa Karjalainen‐Lindsberg, Alison H. Banham, & Sirpa Leppä. (2009). Prognostic impact of activated B-cell focused classification in diffuse large B-cell lymphoma patients treated with R-CHOP. Modern Pathology. 22(8). 1094–1101. 84 indexed citations
10.
Tenhunen, Mikko, et al.. (2009). Linac-based isocentric electron–photon treatment of radically operated breast carcinoma with enhanced dose uniformity in the field gap area. Radiotherapy and Oncology. 93(1). 80–86. 10 indexed citations
11.
Nyman, Heidi, Esa Jantunen, Eeva Juvonen, et al.. (2008). Impact of germinal center and non-germinal center phenotypes on overall and failure-free survival after high-dose chemotherapy and auto-SCT in primary diffuse large B-cell lymphoma. Bone Marrow Transplantation. 42(2). 93–98. 16 indexed citations
12.
Nyman, Heidi, Magdalena Adde, Marja‐Liisa Karjalainen‐Lindsberg, et al.. (2007). Prognostic impact of immunohistochemically defined germinal center phenotype in diffuse large B-cell lymphoma patients treated with immunochemotherapy. Blood. 109(11). 4930–4935. 223 indexed citations
13.
14.
Gould, Raija, et al.. (2007). Miksi masennus vie eläkkeelle. STM:n Hallinnonalan avoin julkaisuarkisto (Julkari).
15.
Jantunen, Esa, Maija Itälä, Timo Siitonen, et al.. (2006). Late non‐relapse mortality among adult autologous stem cell transplant recipients: a nation‐wide analysis of 1482 patients transplanted in 1990–2003. European Journal Of Haematology. 77(2). 114–119. 22 indexed citations
16.
Nyman, Heidi, Marja‐Liisa Karjalainen‐Lindsberg, Minna Taskinen, et al.. (2006). Does Rituximab Influence the Prognostic Effect of Germinal Centre Phenotype in Diffuse Large B-Cell Lymphoma?.. Blood. 108(11). 2743–2743. 1 indexed citations
17.
Taskinen, Minna, Matti Nykter, Marja‐Liisa Karjalainen‐Lindsberg, et al.. (2006). Differential gene expression in non‐malignant tumour microenvironment is associated with outcome in follicular lymphoma patients treated with rituximab and CHOP. British Journal of Haematology. 135(1). 33–42. 32 indexed citations
18.
19.
Gould, Raija & Heidi Nyman. (2004). Mielenterveys ja työkyvyttömyyseläkkeet. STM:n Hallinnonalan avoin julkaisuarkisto (Julkari). 3 indexed citations
20.
Gould, Raija, et al.. (2003). Osittain työkyvytön vai osittain työkykyinen? Tutkimus osatyökyvyttömyyseläkeläisten työssäolosta. STM:n Hallinnonalan avoin julkaisuarkisto (Julkari). 2 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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