Daniel S. Schultz

519 citations
28 papers · 421 · h-index 14

Impact in

Papers in

Daniel S. Schultz

26 papers receiving 406 citations

Peers

Daniel S. Schultz
Comparison fields: 5 of 33
  • Obstetrics and Gynecology 114
  • Pulmonary and Respiratory Medicine 149
  • Oncology 66
  • Cancer Research 32
  • Pathology and Forensic Medicine 33
Replace Taylor M. Ortiz with:
Taylor M. Ortiz United States
Takakuni Kato Japan
Violeta R. McGaughy United States
Paula Michelle del Rosario United States
Павел Игоревич Скопин Russia
Najla Aldaoud Jordan
Nathalie Quénel-Tueux France
Yoshinari Imajo Japan
Natasha E. Lewis United States
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Citations per year

Countries citing papers authored by Daniel S. Schultz

Since Specialization
Citations

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

Fields of papers citing papers by Daniel S. Schultz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel S. Schultz. 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 Daniel S. Schultz. The network helps show where Daniel S. Schultz may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201363
2 201442
3
Comparative analysis of the nuclear proliferative index (Ki-67) in benign prostate, prostatic intraepithelial neoplasia, and prostatic carcinoma.
199632
4 200730
5 201430
6 201324
7
Clinical utility of percent-positive prostate biopsies in predicting biochemical outcome after radical prostatectomy or external-beam radiation therapy for patients with clinically localized prostate cancer.
200022
8 201122
9 199821
10 201320
11 201719
12 201218
13 201917
14 200914
15 201110
16 20099
17 20216
18 20216
19 20144
20 20063

About Daniel S. Schultz

Daniel S. Schultz is a scholar working on Obstetrics and Gynecology, Pulmonary and Respiratory Medicine, Oncology, Hematology and Rheumatology, having authored 28 papers that have together received 421 indexed citations. Recurring topics across this work include Endometrial and Cervical Cancer Treatments (8 papers), Prostate Cancer Diagnosis and Treatment (6 papers), Cervical Cancer and HPV Research (2 papers), Prostate Cancer Treatment and Research (2 papers), Systemic Lupus Erythematosus Research (2 papers), Gallbladder and Bile Duct Disorders (2 papers), HER2/EGFR in Cancer Research (2 papers) and Clinical Laboratory Practices and Quality Control (1 paper). The work is most often cited by research in Obstetrics and Gynecology (114 citations), Pulmonary and Respiratory Medicine (149 citations), Oncology (66 citations), Cancer Research (32 citations) and Pathology and Forensic Medicine (33 citations). Daniel S. Schultz has collaborated with scholars based in United States and Canada. Frequent co-authors include Michael D. Linden, Nilesh Gupta, Rouba Ali‐Fehmi, Oleksandr N. Kryvenko, Michele L. Coté, Mohamed A. Elshaikh, Azadeh T. Stark, Adnan R. Munkarah, Zhaoli Lane and Dhananjay Arun Chitale. Their work appears in journals such as International Journal of Gynecological Pathology, Modern Pathology, Blood, Gynecologic Oncology and International Journal of Radiation Oncology*Biology*Physics.

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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