Jacob David Bitran

5.1k citations
143 papers · 3.9k · h-index 34

Impact in

  • Oncology top 2%
    • Lung Cancer Research Studies
    • Cancer Treatment and Pharmacology
  • Hematology top 2%
    • Hematopoietic Stem Cell Transplantation
    • Multiple Myeloma Research and Treatments

Papers in

Jacob David Bitran

138 papers receiving 3.5k citations

Peers

Jacob David Bitran
Comparison fields: 5 of 119
  • Oncology 1.8k
  • Hematology 546
  • Pathology and Forensic Medicine 689
  • Pulmonary and Respiratory Medicine 1.1k
  • Genetics 242
Replace Alan Yagoda with:
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Citations per year

Countries citing papers authored by Jacob David Bitran

Since Specialization
Citations

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

Fields of papers citing papers by Jacob David Bitran

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jacob David Bitran. 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 Jacob David Bitran. The network helps show where Jacob David Bitran may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 143 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019215
2 1979211
3 2007206
4 1995164
5
Role of chemotherapy in small cell lung cancer: a consensus report of the International Association for the Study of Lung Cancer workshop.
1983121
6 1992109
7 1984104
8 198992
9 198190
10 197789
11
Peripheral blood-derived stem cell collections for use in autologous transplantation after high dose chemotherapy: an alternative approach.
199073
12 198571
13 200970
14 198261
15 198159
16 197959
17 197658
18 202251
19 198750
20 198749

About Jacob David Bitran

Jacob David Bitran is a scholar working on Oncology, Pulmonary and Respiratory Medicine, Pathology and Forensic Medicine, Hematology and Cancer Research, having authored 143 papers that have together received 3.9k indexed citations. Recurring topics across this work include Lung Cancer Research Studies (29 papers), Lung Cancer Treatments and Mutations (28 papers), Lymphoma Diagnosis and Treatment (22 papers), Lung Cancer Diagnosis and Treatment (20 papers), Neuroendocrine Tumor Research Advances (14 papers), Breast Cancer Treatment Studies (10 papers), Peptidase Inhibition and Analysis (10 papers) and Chronic Lymphocytic Leukemia Research (9 papers). The work is most often cited by research in Oncology (1.8k citations), Hematology (546 citations), Pathology and Forensic Medicine (689 citations), Pulmonary and Respiratory Medicine (1.1k citations) and Genetics (242 citations). Jacob David Bitran has collaborated with scholars based in United States, Italy and France. Frequent co-authors include Harvey M. Golomb, Carlos Bekerman, Brian L. Samuels, Richard K. Desser, STEPHANIE F. WILLIAMS, John E. Ultmann, Paul B. Hoffer, Stephanie F. Williams, Rosemarie Mick and Philip C. Hoffman. Their work appears in journals such as Cancer, JAMA, Journal of Clinical Oncology, Annals of Internal Medicine and CHEST Journal.

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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