H.J. Weh

745 citations
35 papers · 504 indexed · h-index 13

Impact in

  • Hematology top 5%
    • Chronic Myeloid Leukemia Treatments
    • Acute Myeloid Leukemia Research
    • Hematopoietic Stem Cell Transplantation
  • Oncology top 10%
    • Colorectal Cancer Treatments and Studies

Papers in

    • Acute Myeloid Leukemia Research 4
    • Chronic Myeloid Leukemia Treatments 4
    • Vascular Tumors and Angiosarcomas 6
    • Colorectal Cancer Treatments and Studies 5
    • Cancer Diagnosis and Treatment 4

H.J. Weh

33 papers receiving 487 citations

Peers

H.J. Weh
Comparison fields: 5 of 47
  • Hematology 182
  • Oncology 257
  • Genetics 86
  • Pathology and Forensic Medicine 119
  • Public Health, Environmental and Occupational Health 131
Replace R Spanedda with:
R Spanedda Italy
Deborah Borek United States
Guido Gini Italy
Abraham Avigdor Israel
Anjum Hassan United States
P. Spaander Netherlands
F Beaujean France
Stefan Müller‐Weihrich Germany
C. Reynolds United States
Subhash C. Gulati United States
H.J. Weh relative to R Spanedda Italy R Spanedda's profile →
Citations per field
00.5×3.4×
R Spanedda · 1×
Citations per year

Countries citing papers authored by H.J. Weh

Since Specialization
Citations

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

Fields of papers citing papers by H.J. Weh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside H.J. Weh, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with H.J. Weh Line = papers co-authored together H.J. Weh links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20082
2 20009
3 199812
4 199828
5 19964
6 19954
7 199465
8 199435
9 19922
10 199230
11 199246
12 199212
13 199130
14 199115
15 19901
16 199012
17 19900
18 198211
19 19790
20 19781

About H.J. Weh

H.J. Weh is a scholar working on Hematology, Oncology, Pulmonary and Respiratory Medicine, Pathology and Forensic Medicine and Genetics, having authored 35 papers that have together received 504 indexed citations. Recurring topics across this work include Sarcoma Diagnosis and Treatment (10 papers), Vascular Tumors and Angiosarcomas (6 papers), Colorectal Cancer Treatments and Studies (5 papers), Lymphoma Diagnosis and Treatment (5 papers), Acute Myeloid Leukemia Research (4 papers), Chronic Lymphocytic Leukemia Research (4 papers), Chronic Myeloid Leukemia Treatments (4 papers) and Cancer Diagnosis and Treatment (4 papers). The work is most often cited by research in Hematology (182 citations), Oncology (257 citations), Genetics (86 citations), Pathology and Forensic Medicine (119 citations) and Public Health, Environmental and Occupational Health (131 citations). H.J. Weh has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include Dieter K. Hossfeld, Walter Fiedler, D. K. Hossfeld, C. Zornig, W. Zeller, R. Kuse, R. Schwarz, M. Hoffknecht, H. Kabisch and William Krüger. Their work appears in journals such as Annals of Hematology, European Journal of Cancer, Annals of Oncology, British Journal of Haematology and Journal of Molecular Medicine.

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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