U Hess

2.7k total citations
46 papers, 955 citations indexed

About

U Hess is a scholar working on Pathology and Forensic Medicine, Genetics and Oncology. According to data from OpenAlex, U Hess has authored 46 papers receiving a total of 955 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Pathology and Forensic Medicine, 15 papers in Genetics and 14 papers in Oncology. Recurrent topics in U Hess's work include Lymphoma Diagnosis and Treatment (14 papers), Chronic Lymphocytic Leukemia Research (12 papers) and Acute Lymphoblastic Leukemia research (6 papers). U Hess is often cited by papers focused on Lymphoma Diagnosis and Treatment (14 papers), Chronic Lymphocytic Leukemia Research (12 papers) and Acute Lymphoblastic Leukemia research (6 papers). U Hess collaborates with scholars based in Switzerland, Germany and United States. U Hess's co-authors include Andreas Lohri, Thomas Cerny, J. Eckert, Daniel Betticher, Michele Ghielmini, A. von Rohr, Martin F. Fey, Emanuele Zucca, Shu-Fang Hsu Schmitz and A Tobler and has published in prestigious journals such as Journal of Clinical Oncology, Blood and JNCI Journal of the National Cancer Institute.

In The Last Decade

U Hess

44 papers receiving 924 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
U Hess Switzerland 17 385 344 308 246 133 46 955
Martin Mohren Germany 17 185 0.5× 188 0.5× 170 0.6× 321 1.3× 187 1.4× 37 936
James N. Butera United States 20 545 1.4× 638 1.9× 165 0.5× 172 0.7× 68 0.5× 55 1.2k
Netanel A. Horowitz Israel 17 229 0.6× 429 1.2× 154 0.5× 215 0.9× 82 0.6× 77 1.0k
Ralph Cobcroft Australia 14 134 0.3× 231 0.7× 126 0.4× 427 1.7× 122 0.9× 40 857
Luigi Zanesco Italy 21 191 0.5× 267 0.8× 177 0.6× 538 2.2× 368 2.8× 48 1.4k
Lidia Gil Poland 17 192 0.5× 413 1.2× 269 0.9× 414 1.7× 46 0.3× 136 1.2k
Prem Mahendra United Kingdom 9 236 0.6× 313 0.9× 168 0.5× 586 2.4× 93 0.7× 14 1.2k
Marcia K. Liepman United States 16 250 0.6× 277 0.8× 203 0.7× 48 0.2× 59 0.4× 33 850
Michele Bibas Italy 17 500 1.3× 648 1.9× 124 0.4× 101 0.4× 35 0.3× 33 1.0k
Roger S. Hill United States 14 262 0.7× 290 0.8× 149 0.5× 505 2.1× 103 0.8× 19 940

Countries citing papers authored by U Hess

Since Specialization
Citations

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

Fields of papers citing papers by U Hess

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of U Hess

This figure shows the co-authorship network connecting the top 25 collaborators of U Hess. A scholar is included among the top collaborators of U Hess 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 U Hess. U Hess 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.
Feller, Anita, Helen Baldomero, Alicia Rovó, et al.. (2017). Improvement of relative survival in elderly patients with acute myeloid leukaemia emerging from population-based cancer registries in Switzerland between 2001 and 2013. Cancer Epidemiology. 52. 55–62. 6 indexed citations
2.
Baumgartner, Annic, Mario Bargetzi, Annika Bargetzi, et al.. (2016). Nutritional support practices in hematopoietic stem cell transplantation centers: A nationwide comparison. Nutrition. 35. 43–50. 37 indexed citations
3.
Meißner, Julia, Hervé Finel, Sascha Dietrich, et al.. (2016). Autologous hematopoietic stem cell transplantation for intravascular large B-cell lymphoma: the European Society for Blood and Marrow Transplantation experience. Bone Marrow Transplantation. 52(4). 650–652. 23 indexed citations
4.
Spahn, Martin, Martin Zweifel, Axel Mischo, et al.. (2016). Comparison of three or fewer high-dose chemotherapy cycles as salvage treatment in germ cell tumors in first relapse. Bone Marrow Transplantation. 52(2). 334–336. 2 indexed citations
5.
Samaras, Panagiotis, Mario Bargetzi, Daniel Betticher, et al.. (2015). Current status and updated recommendations for diagnosis and treatment of plasma cell myeloma in Switzerland. Swiss Medical Weekly. 145(708). w14100–w14100. 4 indexed citations
6.
Martinelli, Giovanni, Shu-Fang Hsu Schmitz, Thomas Cerny, et al.. (2010). Long-Term Follow-Up of Patients With Follicular Lymphoma Receiving Single-Agent Rituximab at Two Different Schedules in Trial SAKK 35/98. Journal of Clinical Oncology. 28(29). 4480–4484. 168 indexed citations
7.
Taverna, Christian, Mario Bargetzi, Daniel Betticher, et al.. (2010). Integrating novel agents into multiple myeloma treatment – current status in Switzerland and treatment recommendations. Swiss Medical Weekly. 140(3738). w13054–w13054. 2 indexed citations
8.
Hess, U, et al.. (2006). Minimal Change Glomerulonephritis in Chronic Lymphocytic Leukemia: Pathophysiological and Therapeutic Aspects. Oncology Research and Treatment. 29(4). 153–156. 8 indexed citations
9.
Mühlematter, Dominique, V. Parlier, C Cabrol, et al.. (2005). Polysomy 8 defines a clinico-cytogenetic entity representing a subset of myeloid hematologic malignancies associated with a poor prognosis: report on a cohort of 12 patients and review of 105 published cases. Cancer Genetics and Cytogenetics. 160(2). 97–119. 13 indexed citations
11.
Hitz, Felicitas, et al.. (2003). Acute Pericarditis and Pleural Effusion Complicating Cytarabine Chemotherapy. Oncology Research and Treatment. 26(4). 348–350. 16 indexed citations
13.
Rohr, A. von, S.‐F. Hsu Schmitz, André Tichelli, et al.. (2002). Treatment of hairy cell leukemia with cladribine(2-chlorodeoxyadenosine) by subcutaneous bolus injection:a phase II study. Annals of Oncology. 13(10). 1641–1649. 37 indexed citations
14.
Pichert, Gabriella, Shu-Fang Hsu Schmitz, U Hess, et al.. (2001). Weekly x 4 Induction Therapy with the Anti-CD20 Antibody Rituximab: Effect on Circulating t(14;18)+ Follicular Lymphoma Cells. Clinical Lymphoma. 1(4). 293–297. 5 indexed citations
15.
Korte, Wolfgang, et al.. (1999). Accelerated progression of multiple myeloma during anti-CD20 (Rituximab) therapy. Annals of Oncology. 10(10). 1249–1250. 12 indexed citations
16.
Betticher, Daniel, Daniel Ratschiller, S.‐F. Hsu Schmitz, et al.. (1998). Reduced dose of subcutaneous cladribine induces identical response rates but decreased toxicity in pretreated chronic lymphocytic leukaemia. Annals of Oncology. 9(7). 721–726. 24 indexed citations
18.
Betticher, Daniel, Martin F. Fey, A. von Rohr, et al.. (1994). High incidence of infections after 2-chlorodeoxyadenosine (2-CDA) therapy in patients with malignant lymphomas and chronic and acute leukaemias. Annals of Oncology. 5(1). 57–64. 65 indexed citations
19.
Leyvraz, Serge, U Hess, Gérard Flesch, et al.. (1992). Pharmacokinetics of Pamidronate in Patients With Bone Metastases. JNCI Journal of the National Cancer Institute. 84(10). 788–792. 60 indexed citations
20.
Eckert, J., et al.. (1975). [Simple method for obtaining Toxocara canis antigen for the indirect immunofluorescence technic].. PubMed. 32(1). 37–47. 9 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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