Niel Wald

1.3k citations
57 papers · 941 · h-index 18

Impact in

Papers in

Niel Wald

54 papers receiving 775 citations

Peers

Niel Wald
Comparison fields: 5 of 129
  • Hematology 142
  • Radiology, Nuclear Medicine and Imaging 249
  • Genetics 77
  • Radiological and Ultrasound Technology 37
  • Cancer Research 90
Replace Mitoshi Akiyama with:
Mitoshi Akiyama Japan
Toshiyuki Suzuki Japan
Z Weshler Israel
E.P. Cronkite United States
E Nordman Finland
B Andersson United States
Rainer Hubmann Austria
W. P. Laird Myers United States
Willemijn M. Klein Netherlands
Gloria Young United States
Niel Wald relative to Mitoshi Akiyama Japan Mitoshi Akiyama's profile →
Citations per field
00.5×1.5×2.2×
Mitoshi Akiyama · 1×
Citations per year

Countries citing papers authored by Niel Wald

Since Specialization
Citations

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

Fields of papers citing papers by Niel Wald

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Niel Wald, 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 Niel Wald Line = papers co-authored together Niel Wald links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 57 papers — load more, or switch the sort, to bring in the rest.

#Work
1 197369
2 200068
3 200863
4 198058
5 195158
6 200256
7 196153
8 196647
9 195844
10
Chromosomal abnormalities in progressive systemic sclerosis (scleroderma) with consideration of radiation effects.
197533
11 199130
12 197528
13
Observations on viral, chemical, and radiation-induced myeloid and lymphoid leukemias in RF mice.
196624
14 196423
15 195922
16 200821
17 195817
18 200017
19 195216
20 200514

About Niel Wald

Niel Wald is a scholar working on Radiology, Nuclear Medicine and Imaging, Molecular Biology, Hematology, Pulmonary and Respiratory Medicine and Public Health, Environmental and Occupational Health, having authored 57 papers that have together received 941 indexed citations. Recurring topics across this work include Effects of Radiation Exposure (13 papers), Radiation Dose and Imaging (9 papers), Acute Lymphoblastic Leukemia research (5 papers), Carcinogens and Genotoxicity Assessment (5 papers), Eosinophilic Disorders and Syndromes (3 papers), Acute Myeloid Leukemia Research (3 papers), DNA Repair Mechanisms (2 papers) and Myeloproliferative Neoplasms: Diagnosis and Treatment (2 papers). The work is most often cited by research in Hematology (142 citations), Radiology, Nuclear Medicine and Imaging (249 citations), Genetics (77 citations), Radiological and Ultrasound Technology (37 citations) and Cancer Research (90 citations). Niel Wald has collaborated with scholars based in United States, Russia and United Kingdom. Frequent co-authors include Sylvia F. Pan, J.Howard Turner, W. Leslie G. Quinlivan, W. Antopol, Silloo B. Kapadia, Howard R. Nankin, Lawrence D. Ellis, Philip Troen, T Yanaihara and John R. Krause. Their work appears in journals such as Health Physics, Blood, New England Journal of Medicine, Radiation Research and Science.

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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