Ralph J. Doerr

1.2k citations
38 papers · 903 · h-index 19

Impact in

Papers in

    • Pancreatic and Hepatic Oncology Research 4
    • HER2/EGFR in Cancer Research 3
    • Colorectal Cancer Treatments and Studies 3

Ralph J. Doerr

38 papers receiving 836 citations

Peers

Ralph J. Doerr
Comparison fields: 5 of 80
  • Oncology 240
  • Pulmonary and Respiratory Medicine 281
  • Radiology, Nuclear Medicine and Imaging 184
  • Pathology and Forensic Medicine 100
  • Biochemistry 33
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Citations per field
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Citations per year

Countries citing papers authored by Ralph J. Doerr

Since Specialization
Citations

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

Fields of papers citing papers by Ralph J. Doerr

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1991110
2 199790
3 198980
4 198856
5 199050
6 199837
7 199937
8
Role of asialo-GM1 positive liver cells from athymic nude or polyinosinic-polycytidylic acid-treated mice in suppressing colon-derived experimental hepatic metastasis.
199032
9 199028
10 199228
11 199027
12 200126
13 199026
14 198924
15 200023
16 200321
17 199321
18 199320
19
Safety and role of repeated administrations of Indium-111-labeled anti-carcinoembryonic antigen monoclonal antibody ZCE 025 in the postoperative follow-up of colorectal carcinoma patients.
199219
20 199718

About Ralph J. Doerr

Ralph J. Doerr is a scholar working on Oncology, Surgery, Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging and Pathology and Forensic Medicine, having authored 38 papers that have together received 903 indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (6 papers), Radiopharmaceutical Chemistry and Applications (6 papers), Pancreatic and Hepatic Oncology Research (4 papers), HER2/EGFR in Cancer Research (3 papers), Colorectal Cancer Treatments and Studies (3 papers), Gallbladder and Bile Duct Disorders (3 papers), Genetic factors in colorectal cancer (3 papers) and Glycosylation and Glycoproteins Research (2 papers). The work is most often cited by research in Oncology (240 citations), Pulmonary and Respiratory Medicine (281 citations), Radiology, Nuclear Medicine and Imaging (184 citations), Pathology and Forensic Medicine (100 citations) and Biochemistry (33 citations). Ralph J. Doerr has collaborated with scholars based in United States. Frequent co-authors include Hani Abdel-Nabi, Edith P. Mitchell, Mahmoud N. Kulaylat, David N. Krag, Carmine Volpe, Stefan A. Cohen, Constantine P. Karakousis, Hani A. Nabi, Richard Peer and John T. O’Brien. Their work appears in journals such as The American Journal of Surgery, Journal of Surgical Oncology, Journal of Endovascular Therapy, The American Surgeon and Annals of Surgical Oncology.

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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