Ralph J. Doerr

1.1k citations
35 papers · 808 · h-index 18

Impact in

Papers in

    • Colorectal Cancer Treatments and Studies 4
    • Pancreatic and Hepatic Oncology Research 4
    • Pancreatitis Pathology and Treatment 2

Ralph J. Doerr

35 papers receiving 758 citations

Peers

Ralph J. Doerr
Comparison fields: 5 of 83
  • Oncology 283
  • Pulmonary and Respiratory Medicine 302
  • Radiology, Nuclear Medicine and Imaging 170
  • Pathology and Forensic Medicine 111
  • Surgery 272
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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 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199199
2 199788
3 198975
4 198854
5 199050
6 199836
7
Role of asialo-GM1 positive liver cells from athymic nude or polyinosinic-polycytidylic acid-treated mice in suppressing colon-derived experimental hepatic metastasis.
199032
8 199931
9 199028
10 199026
11 199026
12 199224
13 198924
14 200023
15 200123
16 200320
17
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.
199218
18 199718
19 199517
20 199717

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 35 papers that have together received 808 indexed citations. Recurring topics across this work include Radiopharmaceutical Chemistry and Applications (5 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), Colorectal Cancer Treatments and Studies (4 papers), Pancreatic and Hepatic Oncology Research (4 papers), Genetic factors in colorectal cancer (3 papers), Gallbladder and Bile Duct Disorders (3 papers), Pancreatitis Pathology and Treatment (2 papers) and Cancer, Lipids, and Metabolism (2 papers). The work is most often cited by research in Oncology (283 citations), Pulmonary and Respiratory Medicine (302 citations), Radiology, Nuclear Medicine and Imaging (170 citations), Pathology and Forensic Medicine (111 citations) and Surgery (272 citations). Ralph J. Doerr has collaborated with scholars based in United States. Frequent co-authors include Hani Abdel-Nabi, Mahmoud N. Kulaylat, David N. Krag, Edith P. Mitchell, Carmine Volpe, Stefan A. Cohen, Constantine P. Karakousis, Nikhil Mehta, Hratch L. Karamanoukian and Richard Peer. Their work appears in journals such as The American Journal of Surgery, The American Surgeon, Annals of Surgical Oncology, Journal of Endovascular Therapy and Journal 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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